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Onsite Senior Data Scientist in Barcelona at TyrAds, an adtech loyalty/rewards platform. The role is quantitative modelling of the reward economy: payout elasticity models, experiment design and causal inference, using advanced SQL and Python; production ML serving is handled by a separate ML engineering team.
Senior Data Analyst at inDrive (Almaty) who owns the Forecasting product: running and improving daily/monthly forecasts of supply, demand and financial metrics in Python and BigQuery, supporting planning cycles with scenario analysis, and explaining variances to business stakeholders in plain business terms.
Leads applied research for the Care Collaborative's eConsult program at CU Anschutz: designing observational studies, running advanced biostatistical analyses on large healthcare datasets (EHR, claims, surveys), and translating findings into operations and policy. Core stack includes R, Python, SQL, and cloud analytics, plus IRB/governance and grant work.
Lead statistical design and analysis for oncology clinical trials, real-world evidence, and health economics studies using SAS/R, while partnering with cross-functional teams to generate data-driven insights for RAS-targeted cancer therapies.
Leads statistical analysis and data science for oncology drug development, designing models, mentoring teams, and supporting regulatory submissions using SAS/R.
Senior Data Scientist at Realtor.com designs and owns performance measurement frameworks for Spotlight Listings, builds inventory models, and leads experimental design for pricing and packaging in a real estate marketplace using SQL, Python, and Snowflake.
Senior data scientist at a top real estate platform, analyzing consumer behavior and content engagement to guide product decisions using Python, SQL, and AI tools.
Senior Data Scientist owning analytics for a product area at an online auction marketplace, using SQL, Python/R, and statistical methods (A/B testing, causal inference) to uncover user behavior insights and build dashboards.
A senior machine learning engineer at Riot Games builds and deploys ML systems to improve player experience in League of Legends, including personalization, matchmaking, and in-game systems, using applied ML and close collaboration with product and engineering teams.
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely…
Senior Data Scientist focused on designing rigorous experimentation frameworks and causal inference methods to inform Discord’s product decisions, ensuring scalable, reliable experiments for a gaming/media platform with 90M+ daily users.
Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't…
Build and deploy machine learning systems for real-time applications like anomaly detection and recommendation engines using Python, cloud platforms, and MLOps tools.
As an Applied AI/ML Scientist tech lead at Faire, you'll own strategy and execution for a two-sided marketplace, developing personalized recommendation, LTV prediction, and causal inference models using machine learning, deep learning, and LLMs, while mentoring scientists and solving marketplace growth/quality challenges.
Lead the design and development of scalable machine learning systems for restaurant-focused products like menu recommendations and demand forecasting, using Python, AWS, and LLMs.
The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School (HKS) is seeking a Senior Software Engineer with specialized expertise in software development, generative AI, and data science. This…
About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade…
The Principal Data Scientist will lead the development and deployment of predictive models to optimize advertising performance across various channels. This role involves the full model lifecycle, from defining learning targets and causal measurement to translating model outputs into actionable business strategies.
About the Role Rubiscape’s AI/ML PM owns the product vision and roadmap for RubiStudio (AutoML & MLOps) and RubiAI (the agentic AI copilot layer), two of the most strategically critical studios on the platform. You…
About the Role Rubiscape’s Data Science Engineer sits at the productive boundary between data science rigour and software engineering discipline — translating complex analytical findings into robust, repeatable, and…
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