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<p>The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions and recommendations.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications/special skills</h2><p>The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions and recommendations. A minimum of two years of progressively responsible experience in quantitative analysis, statistical modelling, survey analysis, data science, or a related field is required. Experience analysing household surveys, census, or population datasets is required Experience producing statistical reports and analytical publications is required Experience working with humanitarian, development, or social protection data is desirable. Experience within the United Nations system or another international organization is desirable. Proficiency in R and/or Stata for statistical analysis and data processing is required Proficiency in SQL for data extraction and management is desirable. Experience producing high-quality statistical tables, charts, and data visualizations is required Experience developing reproducible analytical workflows is required Strong analytical, quantitative, and technical writing skills are required 7 years of experience including a minimum of two (2) continuous years of relevant international experience outside UNRWA and outside the country(ies) of their nationality or citizenship</p><h2>Education</h2><p>Advanced university degree (Master's degree or equivalent) in Statistics, Demography, Economics, Data Science, Applied Mathematics, Quantitative Social Sciences, Public Health, Computer Science, or another related quantitative discipline.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled Financial &amp; Market Research Analyst to conduct in-depth studies for real estate and investment projects. The ideal candidate will have a strong financial background, solid experience in the real estate market, and good knowledge of AI tools to support analysis and reporting.</p><p>Key Responsibilities:</p><ul><li>Prepare market studies and industry analysis</li><li>Conduct feasibility studies for new and existing projects</li><li>Develop detailed financial reports and projections</li><li>Analyze market trends, risks, and investment opportunities</li><li>Use AI tools to enhance research, data analysis, and reporting</li><li>Present findings clearly to management and stakeholders</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong financial background</li><li>Well knowledge of AI tools and data analysis</li><li>Proven experience in the real estate market</li><li>Age range: 30 40 years</li><li>Excellent report-writing and analytical skills</li><li>Ability to work independently and meet deadlines</li><li>Previous experience in real estate market analysis is mandatory</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>POSITION PROFILE</b> In response to the shifting humanitarian financing landscape, IMPACT is placing greater emphasis on producing light, consistent, and decision-oriented analysis products , which summarize available data and inform key decisions. This position will be working on a new flagship analytical output that provides a concise, actionable understanding of acute humanitarian needs across geographies and population groups within a crisis. The (Senior) Analyst Acute Needs Analysis will be responsible for producing this analytical product at country level. This includes reviewing and synthesizing data, conducting structured analysis using IMPACT s global analytical guidance, and producing a short, high-impact external brief. The analyst will work closely with GIS, data, and design colleagues to incorporate visual elements into the final output. The final analytical product will play a key role in informing humanitarian prioritization decisions, including but not limited to the Humanitarian Programme Cycle (HPC), HNRPs, and donor resource allocation. RESPONSIBILITIES DEVELOPMENT OF ANALYTICAL PRODUCT - ACUTE HUMANITARIAN NEEDS Lead the implementation and delivery of the analysis project at the country level, in coordination with the HQ programme team. Align the rollout with global schedules and ensure adherence to IMPACT s analytical standards. Develop and maintain a strong stakeholder mapping and a network of collaborators at country level to enhance contextual understanding / monitoring. Ensure development of user-centered products and, where relevant, support joint analysis with relevant stakeholders. DATA REVIEW AND CONSOLIDATION Collect and synthesize relevant secondary data from REACH assessments, UN agencies, INGOs, and public datasets (e.g., OCHA, FEWS NET, IPC), including via building and maintaining necessary relationships. Evaluate data reliability and identify critical gaps. Support decisions on the need for targeted, light-touch primary data collection. ANALYTICAL PROCESS AND INTERPRETATION Apply IMPACT s global analytical guidance to produce structured, consistent, and context-relevant analysis of acute humanitarian needs. Use defined frameworks (e.g. Risk of Excess Mortality) to classify severity levels, population groups, and geographic areas of concern. Clearly document assumptions, limitations, and analytical reasoning. OUTPUT PRODUCTION AND DISSEMINATION Draft the Acute Needs Analysis brief using standardized global templates and language. Collaborate with GIS and design colleagues to include maps, caseload tables, and other visual aids. Ensure internal review and validation of the product before dissemination. Present findings to clusters, working groups, and donors as needed. As needed, support the development of Global Key Messages based on country level findings.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Note, the position can be at Senior Analyst or Analyst level, based on the experience of the candidate. REQUIRED QUALIFICATIONS • 3 years of relevant working experience in a humanitarian setting, such as analysis, assessments, monitoring and evaluation and research design etc.; • Excellent academic qualifications , including a master s degree or equivalent in a relevant discipline (e.g. international studies, development, humanitarian response, data science, political science, etc.); • Previous experience working on REACH Acute Needs Analysis is an asset. TECHNICAL SKILLS • Excellent analytical and critical thinking skills with experience of interpreting complex data and producing clear, actionable insights. • Strong writing skills and experience producing clear, concise briefs for external audiences. • Proficiency in Excel , with experience of an additional analytical tool (e.g. PowerBI, SPSS, R, STATA, or Python) and an understanding of basic GIS processes and outputs an asset. • Familiarity with different qualitative and quantitative research methods , with the ability to evaluate the quality of different data sources. • Understanding of humanitarian coordination systems , including HPC and inter-agency needs analysis and assessments. COMMUNICATION AND ORGANIZATIONAL SKILLS • Ability to manage complex workflows and deliver high-quality outputs under tight deadlines. • Experience engaging with external stakeholders (e.g. clusters, donors, UN agencies). • Fluency in English required ; additional languages required based on location (see Additional Requirements ). • Comfortable working in cross-cultural, fast-paced environments. • Sound judgment and emotional intelligence in high-pressure or sensitive situations, strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities. • Language : Arabic is an asset but not necessary</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The IC is to provide specialized technical expertise in the implementation, administration, monitoring, and optimization of cloud infrastructure and DevOps platforms within Microsoft Azure. The IC will be responsible for ensuring the availability, security, scalability, and performance of enterprise systems, managing CI/CD pipelines, and writing Infrastructure as Code (IaC). Crucially, the IC will work in close coordination with the internal development team to analyze existing on-premises application architectures, gather deployment requirements, and translate current on-premises VM resource metrics into optimized, cloud-native Azure resource allocations. The consultant will also execute the tactical technical migration of legacy systems from an on-premises Proxmox virtualization environment to the Microsoft Azure cloud platform.</p><p><strong>Work Location</strong> UN-House ESCWA / Hybrid</p><p><strong>Expected duration</strong> 6 months</p><p><strong>Duties and Responsibilities</strong></p><p><strong>Background:</strong> The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council.</p><p>This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge hybrid infrastructure, scalable cloud tech frameworks, and modern deployment models to ensure high availability, security, and performance for critical digital assets. Its core functions include enterprise cloud environment management, infrastructure automation, continuous integration and continuous deployment (CI/CD) optimization, and the migration of legacy on-premises platforms to advanced public cloud ecosystems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region.</p><p>Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the implementation, automation, secure hosting, and optimization of core cloud systems and scalable technology environments to support strategic initiative delivery.</p><p><strong>Duties and responsibilities:</strong> The Cloud Systems and DevOps Analyst will perform the following tasks:</p><ul><li><strong>Cloud Infrastructure Implementation &amp; Administration:</strong><ul><li>Deploy, manage, and optimize enterprise-scale cloud resources within Microsoft Azure, ensuring optimal performance, governance, and resource utilization.</li><li>Administer hybrid virtualization architectures, transitioning existing virtual machines and workloads out of the on-premises Proxmox environment into designated Azure landing zones.</li><li>Maintain and configure base operating systems across enterprise Windows Server and Linux environments hosted in the cloud.</li></ul></li><li><strong>DevOps Platform Engineering &amp; Infrastructure as Code (IaC):</strong><ul><li>Design, build, and maintain automated CI/CD pipelines using Azure DevOps to support rapid, secure, and reliable software delivery cycles.</li><li>Author, review, and maintain infrastructure state using Infrastructure as Code tools, specifically Terraform, Bicep, and ARM Templates.</li><li>Develop automated operational scripts utilizing PowerShell to streamline recurring system administration and provisioning tasks.</li></ul></li><li><strong>Application Lifecycle &amp; Developer Collaboration:</strong><ul><li>Work closely with the development team to audit existing on-premises hosted applications and gather technical requirements for upcoming Azure cloud deployments.</li><li>Analyze the resource utilization and architectural dependencies of applications currently running on on-premises virtual machines to determine the optimal Azure cloud topology.</li><li>Evaluate and recommend whether applications should be migrated as traditional Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure resources (such as App Services, Azure SQL, or container instances) to maximize scalability and cost-efficiency.</li><li>Provide technical guidance to developers regarding cloud deployment pathways, access control configurations, and performance optimization on Azure.</li></ul></li><li><strong>Cloud Security, Identity, &amp; Monitoring:</strong><ul><li>Manage cloud governance, object lifecycles, and secure identity mapping through Azure Active Directory (Azure AD / Entra ID).</li><li>Configure comprehensive observability setups using Azure Monitor and Log Analytics to establish proactive system alerts, log analysis, and performance tracking.</li><li>Implement infrastructure hardening, security controls, and operational best practices across all deployed cloud frameworks.</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Engineering, System Administration, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>A minimum of 5 years of professional experience in system administration, IT infrastructure operations, or cloud platforms architecture is required.</li><li>Demonstrated hands-on experience deploying, administering, and monitoring production cloud environments using Microsoft Azure is required.</li><li>Proven experience building automated CI/CD pipelines and developing infrastructure deployments utilizing Infrastructure as Code tools (Terraform, Bicep, or ARM Templates) is required.</li><li>Proven experience collaborating directly with software development teams to extract application performance metrics, translate software requirements into infrastructure specifications, and plan application modernization strategies is required.</li><li>Solid technical proficiency in scripting with PowerShell and configuring core infrastructure services, including Windows Server, Linux, and Azure Active Directory, is required.</li><li>Excellent analytical, problem-solving, and communication skills are required.</li><li>Practical technical experience supporting or executing system migrations from on-premises hypervisors (specifically Proxmox VE or VMware) to public cloud environments (Microsoft Azure) is highly desirable.</li><li>Official Microsoft certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert) are highly desirable.</li><li>Fluency in English is required and knowledge of Arabic is desirable.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Data Pipeline &amp; Warehousing Engineer to design, build, and maintain reliable data pipelines and data warehouses in Lebanon, enabling scalable analytics and reporting for business and technical stakeholders. Job Purpose Own end-to-end ETL/ELT and data warehousing solutions ensuring data quality, high performance, and governed data models while automating monitoring, alerting, and operational support for analytics workloads. Job Duties and Responsibilities SQL (T-SQL/PostgreSQL/MySQL) ETL/ELT (Airflow, dbt) Python Cloud platforms (AWS/GCP/Azure) Big data tools (Spark) Data warehousing (Snowflake/BigQuery/Redshift) Version control (Git) Monitoring/logging (CloudWatch/Stackdriver) Problem-solving and analytical thinking Communication with stakeholders</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>SQL (T-SQL/PostgreSQL/MySQL)</li><li>ETL/ELT (Airflow, dbt)</li><li>Python</li><li>Cloud platforms (AWS/GCP/Azure)</li><li>Big data tools (Spark)</li><li>Data warehousing (Snowflake/BigQuery/Redshift)</li><li>Monitoring/logging (CloudWatch/Stackdriver)</li><li>Version control (Git)</li><li>Data governance / governed data models</li><li>Strong analytical and troubleshooting skills</li><li>Stakeholder communication skills</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading company in Lebanon is looking to recruit a Financial Analyst to join its Finance Department.</p><p>The selected candidate will be responsible for supporting accurate financial reporting, budgeting, financial analysis, costing, and profitability studies to assist management in decision-making.</p><p>Key Responsibilities:</p><p>Prepare accurate monthly financial reports.</p><p>Support the preparation of the annual budget, including costing, margins, and related financial assumptions.</p><p>Consolidate financial data and prepare reports for management review.</p><p>Assist in preparing end-of-period financial statements, including balance sheet, income statement, and cash flow reports.</p><p>Conduct financial studies to assess the impact of different variables on brand, product, and business profitability.</p><p>Analyze pricing changes and their impact on margins.</p><p>Prepare profitability analysis for commercial and tender-related activities.</p><p>Provide financial insights to support business decisions.</p><p>Coordinate with Sales, Marketing, and other departments on financial planning and performance analysis.</p><p>Review sales targets and support the setting of collection targets.</p><p>Review and validate costing of goods and received orders versus budget.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</p><p>Bachelor s degree in Business, Finance, Accounting, or related field.</p><p>Minimum 3 years of experience in auditing, accounting, finance, or financial analysis.</p><p>CFA, Master s in Finance, or related certification is a plus.</p><p>Strong knowledge of accounting, financial reporting, budgeting, and fiscal regulations.</p><p>Advanced Excel skills; proficiency in Microsoft Office applications.</p><p>Strong analytical, communication, presentation, and reporting skills.</p><p>Ability to work under pressure and coordinate with different departments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A confidential AI-driven technology company serving international clients across the UK, Europe, the US, and the GCC/MENA region is hiring a Data Scientist.</p><p>Responsibilities:</p><ul><li>Analyze large datasets to extract actionable business insights</li><li>Build and validate predictive models and statistical analyses</li><li>Develop dashboards and data visualizations for client reporting</li><li>Collaborate with engineering and product teams to integrate data solutions</li><li>Communicate findings clearly to both technical and non-technical stakeholders</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>1+ years of experience in data science or analytics</li><li>Proficiency in Python or R and data manipulation libraries (Pandas, NumPy)</li><li>Experience with machine learning frameworks and statistical modeling</li><li>Familiarity with SQL and cloud data platforms</li><li>Strong analytical thinking and communication skills</li><li>English proficiency required</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>About the Role </b>Are you passionate about building modern, scalable data platforms that power business decisions and product innovation? As a Staff Data Engineer at Toters, you'll define the technical direction of our data platform while designing and building reliable, high-performance data infrastructure that scales with our business. You'll lead the architecture of our batch and streaming data ecosystem, establish engineering standards, and drive platform evolution across multiple teams. Working closely with Engineering Managers, Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll influence technical strategy, mentor engineers, and ensure our data platform remains scalable, reliable, and cost-efficient. This is a highly hands-on technical leadership role where you'll shape how data is ingested, processed, governed, and consumed across the organization.</p><p>In this role, you will:</p><ul><li>Define and drive the long-term technical vision and architecture for Toters' data platform.</li><li>Lead the design and implementation of scalable batch and streaming data platforms that support analytics, operational systems, and machine learning.</li><li>Design resilient, cloud-native data architectures capable of processing high-volume event streams and transactional workloads.</li><li>Establish engineering standards, architectural patterns, and best practices for data engineering across the organization.</li><li>Design scalable data models, schemas, and data contracts that enable long-term maintainability, governance, and interoperability.</li><li>Drive architectural decisions that improve scalability, reliability, security, observability, and operational efficiency across the platform.</li><li>Lead complex technical initiatives such as platform migrations, streaming modernization, lakehouse evolution, and data infrastructure improvements.</li><li>Evaluate new technologies and recommend pragmatic solutions that balance scalability, operational complexity, and cost.</li><li>Improve platform observability through monitoring, alerting, data quality validation, lineage, and operational dashboards.</li><li>Own the reliability of critical production data systems by leading incident response, root cause analysis, and long-term platform improvements.</li><li>Optimize cloud infrastructure, storage, compute, and streaming costs while maintaining high platform performance.</li><li>Partner with Engineering Managers, Product Managers, Analytics, Machine Learning, and Software Engineering teams to define platform capabilities and technical roadmaps.</li><li>Mentor Senior Data Engineers through architecture reviews, technical coaching, and engineering leadership.</li><li>Conduct high-quality code and design reviews that raise the technical bar across multiple teams.</li><li>Drive technical discussions, resolve complex engineering challenges, and influence cross-functional decision-making across the engineering organization.</li></ul><p>Why Toters?</p><ul><li>Flexible work environment with hybrid-friendly roles.</li><li>Opportunity to define and shape the future of Toters' modern data platform.</li><li>Lead high-impact technical initiatives that influence multiple engineering teams.</li><li>Solve complex engineering challenges involving distributed systems, streaming, and large-scale data processing.</li><li>Collaborate with talented engineers in a culture of mentorship, ownership, and continuous learning.</li><li>Direct impact on products used by thousands of customers every day.</li><li>Competitive compensation package.</li><li>Exclusive discounts on Toters orders.</li><li>First-class medical insurance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>9+ years of experience designing and building large-scale production data platforms or distributed data systems.</li><li>Deep expertise in SQL and advanced data modeling, including dimensional modeling (facts and dimensions), schema design, and data architecture.</li><li>Expert-level experience building distributed streaming systems using Apache Kafka, Amazon Kinesis, Apache Pulsar, or equivalent technologies, with strong knowledge of partitioning, consumer groups, delivery semantics, schema management, and production troubleshooting.</li><li>Deep understanding of distributed systems, batch and streaming data processing, event time, processing time, windowing, stateful processing, fault tolerance, and the challenges of achieving exactly-once processing.</li><li>Strong programming skills in Python and/or JVM languages such as Java or Scala.</li><li>Extensive experience designing modern data lakehouse architectures using Amazon S3, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data platforms on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming services, IAM, networking, infrastructure security, and cloud cost optimization.</li><li>Hands-on experience with distributed processing technologies such as Apache Flink, ClickHouse, Trino, and similar analytical platforms.</li><li>Experience designing and implementing Change Data Capture (CDC) architectures using Debezium or similar technologies.</li><li>Experience with modern transformation frameworks such as dbt.</li><li>Strong experience with Infrastructure as Code using Terraform, containerization using Docker, and orchestration platforms such as Kubernetes.</li><li>Proven experience owning mission-critical production systems, leading incident response, and driving long-term platform reliability.</li><li>Demonstrated ability to define engineering standards, influence architectural decisions, and lead technical initiatives across multiple teams.</li><li>Excellent communication and technical writing skills, with the ability to document architecture, influence stakeholders, and mentor senior engineers.</li><li>Passion for building scalable, reliable, maintainable, and cost-efficient data platforms.</li><li>Nice to Have Experience designing enterprise-scale streaming architectures using Apache Flink.</li><li>Experience leading lakehouse migrations using Apache Iceberg or similar technologies.</li><li>Experience implementing large-scale CDC platforms using Debezium.</li><li>Experience building self-service data platforms and developer tooling.</li><li>Experience with ML Feature Stores, Customer Data Platforms (CDPs), or real-time personalization platforms.</li><li>Experience working in high-growth technology companies, marketplace platforms, or on-demand delivery businesses.</li><li>Experience contributing to open-source technologies or internal engineering frameworks.</li></ul><p></p></section>

<p><h4>Mindrift is looking for highly skilled senior Python data scraping engineers</h4> <p>to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Mindrift is looking for highly skilled senior Python data scraping engineers</h4> <p>to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Substantive contribution to the econometric models of the GUARD tool. Econometric findings and policy-relevant analytical outputs produced to support related outputs of the project (e.g. technical paper/policy brief). The IC is responsible for updating and maintaining the files and data used in an electronic format. Work Location Hybrid Expected duration 5 months Duties and Responsibilities Background Phantom FDI are typically routed through low-or no-tax jurisdictions to facilitate profit shifting and regulatory arbitrage, undermining fiscal revenues and diverting resources away from national development priorities. According to the IMF, phantom FDI accounts for up to 40 per cent of global FDI stocks, while the OECD has highlighted how multinational corporations exploit such flows to disconnect financial activity from the real economy. Assessing phantom FDI risks is essential for safeguarding the integrity of national statistics, reducing fiscal leakages, and strengthening the effectiveness of investment-led development strategies. It also explains why high FDI inflows may not translate into productive investment or broader development gains, underscoring the need to assess not only the volume, but the quality of FDI. Duties and responsibilities The Individual Contractor (IC) will provide analytical and technical support to the work of the Financing for Development Team in the areas covered by this assignment. Specific responsibilities include:</p><ul><li>Extracts, compiles and manages bilateral and sectoral FDI datasets and other relevant indicators required for the analysis which pertain to phantom FDI and related IFFs risks in pilot countries.</li><li>Reviews, validates and harmonizes FDI related data and apply appropriate statistical techniques to address data quality issues, inconsistencies and gaps.</li><li>Provides technical support in the implementation of econometric modeling and analysis to identify anomalous investment patterns, high-risk foreign jurisdictions and domestic sectors potentially linked to phantom FDI.</li><li>Contributes to the development of country and sector-level risk profiles through the analysis of medium and long-term investment trends, bilateral investment relationships, and relevant risk indicators.</li><li>Supports in compiling and mapping risk indicators to identify high-risk sectors and counterpart countries, with visual outputs tailored to the context of pilot countries.</li><li>Maintains, updates and documents structured datasets and related analytical files and load data into a computerized database system.</li><li>Develops statistical tables, visualizations, dashboards, and other analytical products using appropriate analytical and visualization tools to illustrate key findings and trends related to phantom FDI and IFF risks.</li><li>Contributes to the design of interactive dashboards and visualization interfaces that illustrate key indicators and investment patterns including the development of related wireframes.</li><li>Conducts statistical analysis to support the preparation of background material, technical notes, and presentations for project outputs.</li><li>Contributes to ongoing work related to IFFs, including analytical support to the development and updating of scorecard.</li><li>Assist in the preparation of literature reviews, research papers and presentations.</li><li>Prepares a variety of reports, presentations, tables, lists, graphs, charts, and/or diagrams based on the data analyzed for information.</li><li>Collaborate closely with team members in the field of Financing for Development and provides substantive support for project activities, expert meetings, consultations, workshops, and other related tasks as required.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A Master's degree in economics, applied economics, finance, econometrics or in a related area is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>A minimum of two years of professional work experience in research, data extraction or using statistical tools is required.</li><li>A minimum of one year of professional experience in practical user-friendly tools to support trend analysis, scenario development and the visualization of desired futures is required.</li><li>Proficiency in statistical software (i.e STATA, EVIEWS) is required.</li><li>Knowledge of the time series macro econometric models and panel data analysis is required.</li><li>Knowledge of Vector Autoregressive Models (VARs) or Structural VAR is desirable.</li><li>Knowledge of panel data modeling approaches including fixed effects, dynamic panel models, gravity models and generalized method of moments (GMM) is desirable.</li><li>Fluency of English and Arabic are required.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re hiring a Voice QA &amp; Automation Analyst open to interns, fresh graduates, or earlycareer candidates who are excited to get their hands dirty with real AI systems. You ll listen to AI to-guest calls, identify what s working and what isn t, and build automated pipelines that turn those findings into live KPIs. You don t need industry experience you need curiosity, coding ability, and a sharp eye for detail. This is a rare chance to do meaningful work on frontier voice AI from day one.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities</b></p> <ul> <li>Partner with clients to gather, document, and analyze business requirements.</li> <li>Configure the IRMS Suite to support medical information workflows and compliance standards.</li> <li>Translate requirements into functional specifications and collaborate with product and implementation teams.</li> <li>Support validation, testing, and deployment activities to ensure successful rollouts.</li> <li>Provide expert guidance to clients on best practices in medical information management.</li> <li>Participate in client workshops and industry-facing engagements as needed.</li> <li>Leverage AI-powered tools and workflows to streamline requirements gathering, documentation, and system configuration tasks.</li> <li>Identify opportunities to integrate AI and automation into client workflows and internal processes to improve efficiency and accuracy.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li> 3+ years of experience as a Business Analyst in SaaS, enterprise software, or life sciences technology.</li> <li> An AI-first and curious mindset, looking for areas to improve the business and internal workflows with AI and automation</li> <li>Demonstrated ability to elicit and translate business requirements into effective system configurations.</li> <li>Hands-on experience configuring enterprise systems or SaaS applications.</li> <li>Strong client-facing and communication skills, including the ability to lead discovery sessions.</li> <li>Proficiency with MS Office, documentation tools, and AI-assisted productivity platforms (e.g., Claude, Copilot, or similar).</li> <li>Comfort working with AI tools to augment analysis, automate repetitive tasks, and accelerate decision-making.</li> <li>Analytical mindset, detail orientation, and problem-solving skills.</li> <li>Ability to manage multiple client projects simultaneously.</li> <li>Willingness to travel occasionally for client meetings and industry events.</li> <li>Background in pharma/biotech solutions preferred (Medical Affairs, Medical Information, or related systems strongly preferred).</li> <li>Knowledge of pharmaceutical compliance workflows (medical inquiries, adverse event reporting, etc.) preferred but not required</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> 3+ years of experience as a Business Analyst in SaaS, enterprise software, or life sciences technology.</p> <p> An AI-first and curious mindset, looking for areas to improve the business and internal workflows with AI and automation</p> <p>Demonstrated ability to elicit and translate business requirements into effective system configurations.</p> <p>Hands-on experience configuring enterprise systems or SaaS applications.</p> <p>Strong client-facing and communication skills, including the ability to lead discovery sessions.</p> <p>Proficiency with MS Office, documentation tools, and AI-assisted productivity platforms (e.g., Claude, Copilot, or similar).</p> <p>Comfort working with AI tools to augment analysis, automate repetitive tasks, and accelerate decision-making.</p> <p>Analytical mindset, detail orientation, and problem-solving skills.</p> <p>Ability to manage multiple client projects simultaneously.</p> <p>Willingness to travel occasionally for client meetings and industry events.</p> <p>Background in pharma/biotech solutions preferred (Medical Affairs, Medical Information, or related systems strongly preferred).</p> <p>Knowledge of pharmaceutical compliance workflows (medical inquiries, adverse event reporting, etc.) preferred but not required</p><p></p></section>