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.
Lead end‑to‑end AI research projects—designing, building, evaluating, and deploying generative AI, LLM‑based and classical machine‑learning models—to solve high‑impact business problems, while collaborating closely with product, engineering, and data teams.
Senior data analyst on HelloFresh's Pricing Analytics team at the Berlin HQ, owning price and discount experiments end to end, applying causal inference and elasticity modeling, and shipping analytics as production data products (SQL, Python, Databricks, Streamlit) that shape pricing strategy across 15+ markets.
Reddit is hiring a Principal Data Scientist to lead the long-term scientific strategy for its advertising platform — defining measurement, prediction, and optimization frameworks for ads auctions, targeting, and advertiser LTV. The role relies heavily on statistics, econometrics, causal inference, machine learning, Python/R, and SQL at large scale.
A senior data scientist at Reddit designs identity resolution models, improves ad measurement methodologies, and enhances predictive performance for advertisers using statistical and machine learning techniques.
Staff Data Scientist designs probabilistic identity models and lift measurement systems to improve ad targeting and privacy-compliant attribution for Reddit’s ad platform.
Lead relevance measurement and evaluation for feeds and search using Python/R/SQL, causal inference, and experimentation to improve ranking algorithms.
Lead Reddit’s marketing measurement strategy, building Media Mix Models and incrementality tests to optimize hundreds of millions in ad spend across B2B and B2C growth.
Lead Reddit’s marketing measurement strategy, building Media Mix Models and incrementality tests to optimize hundreds of millions in ad spend and drive advertiser/user growth.
Build and refine Reddit’s ad-measurement and identity systems using probabilistic modeling, causal inference, and ML to improve advertiser ROAS and privacy-safe targeting.
Staff Data Scientist on Reddit’s Ads team building identity resolution, lift measurement, and predictive models to improve ad performance and advertiser ROI.
Senior Data Scientist at Reddit designing experiments, analyzing user/product metrics, and mentoring teams to drive growth and strategy across media platforms.
Build and apply ML models to improve Reddit’s ad platform, analyzing large-scale data to drive advertiser performance and platform growth.
Principal Data Scientist on Upstart's Product & Growth Analytics team at its AI lending marketplace: partnering with product, finance, and ML leaders to shape strategy, design A/B tests and causal inference studies, and build tools for forecasting, spend optimization, marketing incrementality, and attribution. Remote within the US.
Upstart, an AI lending marketplace, is hiring a Principal Data Scientist to lead marketing measurement: owning incrementality tests, causal inference, attribution, and marketing mix modeling to guide how marketing and finance allocate ad spend. Requires deep quantitative experience with strong Python and SQL, remote within the US.
Build and validate AI-powered analytics models (causal inference, forecasting, survival analysis) that proactively surface insights to Mixpanel’s customers, translating statistical rigor into actionable recommendations.
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.
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.
Data Scientist on Whatnot's Seller Merchant team, using product analytics, experimentation, and causal inference (SQL, Python) to improve seller-facing tools like catalog, listings, inventory, and Shopify integrations on its live shopping marketplace. Must live within commuting distance of the New York or San Francisco hub.
Director of Data Science at Known, a marketing analytics and creative agency, leading client engagements that blend data science, AI, and marketing strategy from scoping through delivery, while managing and mentoring a team of analysts and data scientists. Core stack: Python, SQL, Git, machine learning (linear/XGBoost), statistics, and experimentation.
Senior data scientist who owns the scientific and product roadmap for a Monetization domain at Fetch — building advertiser audience products and receipt-based ad measurement from first-party purchase data. A hands-on role combining SQL, Python, statistical modeling, and causal inference with cross-functional leadership alongside Product, Sales, and GTM.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
