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About the Role What we do The Experimentation team provides cutting edge tooling and methodologies for all teams at Uber to make rapid decisions for their product iterations. Experimentation is an exciting domain that…
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and…
Build our future together: At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Senior Manager, Epidemiology for our Health Economics and…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce…
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for…
Data scientist on Google's Ads Marketing team, performing deep analytics, designing controlled experiments and incrementality measurement, and building scalable analysis pipelines to support global marketing programs for Google Ads. Core tools include SQL, statistical software (R, Python, MATLAB), and statistical/ML modeling.
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.
PhD-level Data Science intern at Duolingo (Pittsburgh or NYC): analyze large behavioral datasets, evaluate product experiments, and apply causal inference, statistics, and ML/AI to model user behavior and guide product decisions. Core stack is SQL plus R or Python. Requires a 3rd+ year PhD student in a quantitative field.
A PhD intern data scientist at Duolingo analyzing large behavioral datasets with SQL, Python/R, and statistical/causal-inference methods to model user behavior, evaluate product experiments, and shape product roadmaps. Work involves collaborating with product and engineering and presenting findings to senior management.
Job Title: Advanced Analytics Manager Location: London Competitive salary and benefits Introduction to role: Are you ready to turn complex commercial and medical questions into robust evidence that changes decisions…
SALARY RANGE (Grade 15) CSA245: $89,993.11/yr. -- $134,991.01/yr. (Commensurate with experience) This position will be based out of the Boston, Lawrence, Quincy, Brockton, Marlboro, or Chicopee OSA offices. Please…
About the role Mile Marker is an omni-channel agency that combines media, creative, and data to accelerate growth for enterprise brands. Central to our growth strategy is Relay, our proprietary measurement and…
Senior Data Scientist owning high-leverage marketplace and operational decision problems—pricing, routing, fleet utilization, network planning—at a drone delivery company, building ML, optimization, forecasting, and simulation models.
VP of Data Science owning the methodology behind Attain's ad-tech measurement products—causal inference, attribution, media mix modeling—defending those methods to clients and partners while leading a team of data scientists.
Lead a 12-person data science and ML team at Squarespace, setting technical and strategic direction for predictive modeling, causal inference, and AI evaluation systems that power marketing measurement, growth, and risk/credit modeling. Hybrid NYC role (3 days/week in office) reporting to the VP of Data.
Senior Director of Consumer Data Science at Reddit, leading a multi-team organization that sets data science strategy for feed, search, recommendations, retrieval, and ranking systems. Day-to-day involves establishing measurement and experimentation frameworks, guiding ML system improvements, and building and coaching senior data science leaders.
Principal Data Scientist - AI, Machine Learning, Fraud Detection & Risk Modeling Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large…
Lead a global ML and backend engineering org at HelloFresh, building AI-driven pricing, benefit optimization, and customer lifetime-value systems across Berlin, Warsaw, NYC, Boulder, and Toronto.
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