Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Designs and maintains scalable data pipelines using Spark, Hive, and Airflow for a healthcare tech client, building APIs, visualizations, and optimizing data infrastructure on AWS and Databricks.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government clients, using Python, SQL, and visualization tools.
Build and maintain scalable data pipelines and platforms to process structured/unstructured data for mission-driven projects like fraud detection and healthcare research using Python, SQL, and ETL tools.
Analyze diverse datasets to uncover trends and anomalies, build statistical models, and produce insights for strategic decisions using SQL, Python libraries, and visualization tools.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Leads paid social media campaigns for clients, manages a team of specialists, and ensures campaign execution aligns with business goals using platforms like Meta Ads and TikTok Ads.
📍 Contexte de la mission : Sur les marchés lyonnais, nous sommes incontournables sur le secteur public, bancaire, de la protection sociale, des mutuelles, des télécoms, du médical et de l’énergie. Nous travaillons en…
Join Us! At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we…
Software/Applications Architect/Developer/Engineer responsible for architecting, building, maintaining, deploying, and administering mission software and web applications. Core technologies include Java, Javascript, Python, C/C++, Angular, React, Spring, AWS, Azure, Docker, Kubernetes, and DevOps tools.
Designs and optimizes scalable big data pipelines using Python, AWS services (Lambda, Redshift, Glue), and big data tools (Spark, Hadoop/EMR) to process and analyze large datasets.
Builds and maintains scalable data pipelines on AWS using Python, Spark, and Redshift to process large datasets for clients.
Builds and maintains large-scale ETL pipelines and data warehouses using Spark, Hadoop, Python, and SQL to deliver clean, actionable datasets for analytics and reporting.
Build and maintain scalable data pipelines and ETL workflows to organize disparate data for analytics and mission-driven projects using Python, Java, or C++.
Build predictive models and analyze structured/unstructured data to solve public-sector challenges using ML/AI and visualization tools.
Build and maintain scalable data pipelines and platforms to organize disparate data for analytics and mission-driven projects like fraud detection and healthcare research.
Builds and maintains data pipelines and analytics solutions for government clients, using Python/SQL and training teams on data systems.
Builds and deploys AI/ML models and data pipelines to extract insights from complex datasets (structured/unstructured) for clients in sectors like fraud detection, intelligence, and healthcare, collaborating with cross-functional teams to deliver actionable solutions.
A Data Scientist at Booz Allen extracts insights from structured/unstructured data using statistical methods, ML, and predictive analytics to support government/mission-critical projects. Focuses on modeling, visualization, and advising clients on data-driven decisions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.