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This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of…
About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to…
#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods…
PhD data science internship in Microsoft's Commerce, Content, and Monetization organization (Redmond, WA). The intern owns a scoped project end-to-end — metrics, analysis, validation, recommendations — using SQL, Python/R, machine learning, causal inference, and LLM-based AI to improve content discovery, recommendations, search, and advertising measurement at massive scale.
Data Scientist on Fetcherr's Insights & Decision Science team, designing causal-uplift measurement frameworks and A/B testing to quantify the business impact of its AI airline pricing engine, and turning complex pricing-model data into insights for stakeholders. Core stack: Python (pandas, numpy, scikit, statsmodels), SQL/BigQuery, and git.
Staff Data Scientist at Gusto building time-tracking products for small businesses using experimentation, causal inference, and AI-assisted analytics to drive product decisions and mentor peers.
A Data Scientist focused on risk analysis builds statistical models, designs experiments, and drives data-driven decisions to mitigate financial risks for Gusto’s fintech platform, using SQL, Python, and AI tools to analyze risk-related data and influence business strategy.
Lead a team of data scientists and analysts to rebuild Gusto's sales data foundation, evolve forecasting with rigorous analytics, and enable AI-driven self-service insights for revenue growth.
Senior Data Scientist at Pinterest designs and builds data products to optimize ads monetization, using statistical modeling, experimentation, and causal inference on large-scale web data.
A senior data scientist at Pinterest designs and delivers data-driven insights to shape the company's ads product strategy, ensuring trustworthy analytics and clear communication to cross-functional teams.
Senior Data Scientist in Pinterest’s marketing team builds statistical models and measurement frameworks to optimize ad revenue, using Python/R, SQL, and causal inference to guide budget allocation and growth strategies.
Build and maintain ML infrastructure at Pinterest, including feature importance platforms, causal inference systems, and scalable ML pipelines using Python, PyTorch, Ray, and Airflow.
Staff Data Scientist builds and scales ML models for Pinterest’s ad delivery system, designing experiments and causal inference to optimize ad serving for millions of users and advertisers.
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and…
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a…
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we…
Senior Data Scientist at Alpaca builds and scales experimentation tooling and product analytics to drive growth and monetization for a global brokerage-infrastructure platform serving 10M+ accounts.
About the Team The Commerce Platform team builds products that help merchants grow, operate, and monetize their business with DoorDash. Our portfolio spans 0→1 bets, early-stage products, and rapidly scaling offerings,…
Build and deploy large-scale ML systems to personalize offers and incentives for DoorDash’s DashPass loyalty program, optimizing subscriber acquisition, retention, and churn reduction.
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.
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