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.
Job Title Manager, Medical Analytics, R&D Job Description Manager, Medical Analytics, R&D (London) We are a global life reinsurer operating in Europe, Asia, Australia and North America, and are part of Pacific…
Senior Data Scientist building end-to-end production decision systems—forecasting, optimization, pricing, and batch/real-time recommendations—using Python, PyTorch/TensorFlow, and SQL at a lottery and sports-betting company in Toronto.
Senior Data Analyst driving personalization strategy for Disney+ and Hulu through A/B testing, analytics engineering, and deep-dive analysis using SQL, Python, and Looker on large datasets.
Lead the development of advanced AI/ML systems powering next-generation journalism at The Washington Post, focusing on AI-powered search, retrieval, ranking, content understanding, and generative AI reader experiences using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Build and improve fraud-detection models for Stripe’s global payments platform using ML, stats, and causal inference, then ship them to production with engineering partners.
Build ML models and run experiments to optimize Stripe’s Link checkout, local payment methods, and consumer features like an AI wallet.
Data scientist at Stripe analyzing payments data to optimize local payment methods, build ML models, and drive business decisions using SQL, Python/R, and experimentation.
Data Scientist at Stripe partners with global growth teams to design experiments, optimize user onboarding, and drive impact using machine learning, statistical modeling, and analytics.
Senior Data Scientist builds analytics and ML models to guide Apple’s business and education services, partnering with engineering and product teams to optimize organizational experiences at global scale.
Supports faculty research by cleaning datasets, building statistical models, and visualizing findings using Python/R; collaborates with data scientists and researchers in a university setting.
Senior Data Scientist at Airbnb building pricing guidance, product optimization, and marketplace intelligence models using Python, SQL, causal inference, and machine learning to shape the two-sided marketplace.
Optimizes ML-driven lending systems by monitoring, retraining, and developing new models for automated decision-making, integrating data sources, and refining pipelines for accuracy and scalability.
Principal Data Scientist owning credit risk modelling, ML pipelines, scoring, and underwriting models to drive lending decisions. Uses Python and SQL for financial forecasting and feature engineering within a fintech context.
Directors AI and Data Science focused on marketing measurement and effectiveness, leading a team to design, execute, and interpret marketing mix modeling, attribution, and experimentation programs using AI/GenAI in production, managing client relationships and scaling measurement solutions.
Director of AI & Data Science for Marketing Measurement & Effectiveness at Artefact, leading measurement programs, statistical modeling, and data science teams for clients, with a focus on marketing mix modeling, attribution, and AI applications in production environments.
Staff Data Scientist designs and implements growth and marketing analytics models to optimize lead scoring, marketing measurement, and spend allocation for a virtual behavioral healthcare company.
Staff Data Scientist at a behavioral healthcare startup, leading statistical modeling and causal inference to shape product and operational decisions using Python, SQL, and Snowflake.
A Staff Data Scientist at Charlie Health partners with Growth, Marketing, and Revenue teams to build measurement frameworks, scoring models, and causal inference methods that optimize spend and drive measurable outcomes in behavioral healthcare.
Staff Data Scientist at Charlie Health designs and implements statistical models and analyses to guide product, operations, and clinical decisions, using SQL, Python/R, and causal inference methods to improve mental healthcare access and outcomes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
