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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver…
Senior Data Scientist on Lyft's FORTOP team developing real-time supply/demand forecasting and ML models that power dynamic pricing and fulfillment across the rideshare marketplace. Works closely with engineers and product managers to build and scale production ML systems.
Senior Data Scientist builds and deploys ML models and causal-inference systems that power Lyft’s B2B travel, ride-pass, and concierge products, collaborating with engineering and product teams.
Data Scientist on Lyft's Driver Incentives Science team building and deploying optimization models and algorithms for driver pay mechanisms, budget allocation, and real-time supply positioning using Python, operations research, and causal inference.
Data Scientist on Lyft's Dynamic Pricing & Offer Selection team, building and shipping end-to-end dynamic pricing models that set prices for every ride while balancing price and ETA. Day-to-day work spans statistical/ML/optimization modeling, SQL and Python-based analysis, simulated and live experiments, and cross-functional collaboration to influence product roadmaps.
A PhD-level machine learning intern at Lyft's Applied AI team in San Francisco owns an open research problem tied to rider-facing products — developing models in reinforcement learning, sequential decision-making, and personalization on petabyte-scale data, with the goal of publishing at a top ML venue. Work is hybrid (3 days/week in office), coding in Python with PyTorch/TensorFlow/JAX on Lyft's
Lyft is hiring a Data Scientist in New York who partners with engineers, product managers, and business partners to frame problems, run exploratory analysis, build statistical/ML/optimization models, write production modeling code, and design and analyze experiments. Core tools include Python, R, and MATLAB.
OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel…
Senior Data Scientist driving analytics across Ripple's product and business areas (Payments, Stablecoin, Custody): building metrics and causal-inference frameworks, forecasting, and using LLM/agentic AI to scale analysis. Core stack is Python/R, SQL, and Databricks, partnering closely with product and business leads.
About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck.…
Senior Data Scientist on Airbnb's People Analytics & Research team, leading rigorous causal-inference research on workforce questions like hiring, promotion, retention, and pay equity. Day to day: statistical modeling in R or Python with SQL, partnering with HR/legal stakeholders, and using AI tools to speed up analysis.
Leads data science initiatives to rigorously evaluate and improve Waymo’s autonomous driving behavior testing, using statistical methods and Python/R/SQL to ensure safety and scalability of the ride-hail service.
Waymo is hiring a PhD Data Science intern for Summer 2027 in San Francisco (hybrid onsite) to work with the Product Data Science team on improving causal and predictive pricing models, time series estimation, and quantifying pricing misprediction losses, primarily using Python and SQL.
Waymo's Growth ML team is hiring a Senior ML Engineer to take growth models from experimentation into reliable production: owning the feature layer, building point-in-time-correct training data, running batch scoring with safeguards, automating retraining, and monitoring model drift. Core stack is Python, SQL, and large-scale data processing (Spark/Beam/Flume), working hand-in-hand with data scien
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.
Lead real-world data strategy for a pharma AI company, building pipelines and harmonizing datasets to accelerate drug development and portfolio decisions.
Senior Data Scientist at a tech-driven pharma company, building and analyzing real-world patient data pipelines to accelerate drug development using SQL, Python, Snowflake, and generative AI.
Designs and owns data frameworks to model unit economics for a healthcare startup, linking customer acquisition, product lifecycles, and reimbursement cycles to guide pricing, marketing spend, and profitability decisions.
Senior Data Scientist in Mexico City building and validating machine-learning models end to end: Python with scikit-learn/XGBoost (and PyTorch/TensorFlow when needed), advanced SQL and PySpark for data at scale, cloud storage, plus A/B testing, causal inference, and MLOps discipline (Git, MLflow, production-ready code).
Design and deploy production pricing systems like demand forecasting and dynamic pricing for a portfolio of retail brands, using Python, SQL, and cloud ML platforms.
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