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JOB SUMMARY\: Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics,…
Now Brewing – Lead Data Scientist, Retail Testing Analytics! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that…
Now Brewing – Principal Data Scientist, Supply Chain Forecasting & Optimization! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but…
A Staff Machine Learning Engineer focuses on causal inference at DoorDash, building production systems for uplift models, counterfactual evaluation, and connecting experiments with ML to drive decisions across new verticals like grocery and retail.
Designs, builds, and productionizes causal ML systems (uplift models, heterogeneous treatment effect, counterfactual evaluation) for DoorDash's New Verticals (grocery, retail, etc.) to influence marketplace decisions like promotions and recommendations.
A 12-week Summer 2027 machine learning research internship for Masters students at DoorDash. The intern conducts applied ML/AI research (ranking, recommender systems, computer vision, causal inference, ads) to improve discovery, ads, forecasting, fulfillment, and search, using Python or systems languages and ML frameworks like TensorFlow/PyTorch.
DoorDash is hiring PhD students for a 12-week Summer 2027 machine learning internship in San Francisco, Sunnyvale, NYC, or Seattle. Interns conduct applied ML research (recommender systems, ranking, ads, computer vision, causal inference) to improve DoorDash's discovery, ads, search, forecasting, and fulfillment experiences.
Full-stack engineer on DoorDash's Experimentation Platform, building backend services, SDKs, and the React-based Decision Portal UI that thousands of internal users rely on to design, configure, launch, and analyze experiments. Work spans TypeScript/React, REST/gRPC backend APIs (Java, Kotlin, Python, or Go), storage-layer choices, and LLM-powered experimentation tooling.
Summary / Objective The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist…
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where…
Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to…
Мы ищем Data Scientist в команду, которая занимается разработкой ML-решений для бизнес-задач. Основной фокус роли — полный цикл работы с моделями: от исследования данных и проверки гипотез до вывода решений в…
At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than 1/3 of all food produced in the world is wasted. And that has a huge impact on the health of our…
At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and…
About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through…
As a Senior Data Scientist on the AI team , you will lead the formulation, modeling, and evaluation of complex real-world decision problems using statistics, machine learning, and optimization. You will apply rigorous…
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