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Чем нужно будет заниматься: Цель: Построение прогнозных моделей спроса/предложения, моделей эластичности, оптимизация цены с использованием ML. Ключевые задачи: - Построение прогнозных моделей спроса и предложения -…
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment,…
Leads a data science team to analyze real/simulated driving data, drive engineering progress, and scale operations for Wayve’s AI-powered autonomous vehicle tech.
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
The Staff Software Engineer will help build and scale Xometry's India engineering team, focusing on full-stack development for their AI-driven manufacturing marketplace. The role involves hands-on coding in Python, React, and TypeScript, while mentoring engineers and integrating AI tools into the development lifecycle.
Senior Data Scientist at Xometry, a marketplace connecting buyers with manufacturers, based in Bangalore as a founding data scientist for the India product development center. The role leads analytics, experimentation, and statistical/ML work using SQL, Python, AWS, Snowflake, and Looker to drive product and business decisions.
Build novel statistical models and causal-inference methods to re-imagine brand tracking, working with engineers and product teams to turn survey data into the world’s best marketing-measurement platform.
A senior data scientist (5+ years) partnering with Product and Engineering teams on consumer lending products, driving product analytics, A/B testing, statistical/ML modeling, and data-informed decisions. Core stack: advanced SQL, Python or R, statistics and causal inference, with banking/fintech domain expertise.
Leads data analytics for Coupang’s fintech payments platform, Rocket Pay, building measurement frameworks and driving data-informed decisions to scale the business.
Team & Project Overview The NBS Data Central team powers analytics, data science, and AI capabilities for Worldwide Global Selling (WWGS). We build scalable data products, and insight-generation systems that drive…
Amazon is continuing to invest in the measurement of its ads products in order to tap into the growing digital advertising marketplace. Amazon Ads' Measurement, AdTech and Data Science (MADS) team is looking for an…
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
Job Description: The Purpose of Your Role Fidelity Workplace Investing is seeking an experienced Data Science leader to lead a team focused on powering intelligent, personalized digital experiences for our customers.…
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed…
A mid-level data scientist on PlayStation's Decision Science team who uses advanced statistics, machine learning, A/B testing, and causal inference (mainly Python and SQL) to solve business problems around platform engagement, product features, and games, and communicates insights to stakeholders.
Builds and validates predictive models and statistical analyses to improve quality, accelerate growth, and optimize operations in a regulated pharmacy environment using Python, SQL, and cloud platforms.
Data Scientist at Polco building descriptive, predictive, and causal analytics on local government performance databases (GPAL). Day to day: maintaining data pipelines and models, running survey weighting/benchmarking, and communicating insights, primarily in Python, SQL, and R on cloud data in Snowflake.
Senior individual-contributor data scientist at Strava (San Francisco, hybrid 3 days/week on-site) who designs measurement strategies for complex initiatives using experimental and quasi-experimental causal methods, evolves company-wide metric strategy, and serves as the inference domain expert across the data org. Core tools: SQL and Python.
Leads data-driven product decisions by designing experimentation frameworks, mentoring teams, and influencing roadmaps with insights; core tools: SQL, dbt, Snowplow, Amplitude.
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