Principal Data Scientist – Consumer

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 9%

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Gopuff

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2013

🍽️ Food & Beverage

🏥 Healthcare

🏨 Hospitality

💰 Funding Round on 2022-05

Food & Beverage • Healthcare • Hospitality

Gopuff is the go-to instant commerce platform, fulfilling consumers’ evolving, everyday needs. With an unmatched assortment that includes groceries, alcohol, home essentials, medicine, pet care, office supplies, beauty and wellness items, baby products, food and drinks, local brands, as well as alcohol and fresh prepared food in some markets, Gopuff brings a unique, reliable and magical experience to customers around the world. Founded in 2013 by Rafael Ilishayev and Yakir Gola, Gopuff created the instant needs category and continues to build the rails that define the future of commerce.

📋 Description

• Serve as the technical lead for Gopuff’s consumer personalization strategy • Define modeling strategy for recommendations, ranking, and personalization across the home feed, search, product pages, cart, and CRM • Design candidate generation, retrieval, and learning-to-rank systems balancing relevance, basket size, margin, and real-time inventory • Build LLM-powered agentic AI experiences that help customers plan, discover, and reorder • Combine classic machine learning and LLMs in production systems • Design A/B tests and offline evaluation frameworks, select metrics, and connect model gains to customer and business outcomes • Partner with engineering and product managers on feature pipelines, model serving, latency budgets, and monitoring • Mentor senior and staff data scientists, lead design reviews, and raise standards for modeling, code quality, and measurement • Work with Product and Engineering leaders to prioritize high-impact problems and explain trade-offs to executives

🎯 Requirements

• 10+ years of experience in data science or machine learning, or 8+ years with a PhD in a quantitative field (computer science, statistics, operations research, or similar) • Track record of shipping recommendation, ranking, or personalization systems that measurably moved consumer metrics at scale • Deep knowledge of classic machine learning: gradient boosting, collaborative filtering, matrix factorization, learning-to-rank, embeddings, and causal and experimental methods • Hands-on experience building agentic AI systems with LLMs, including prompt and tool design, retrieval-augmented generation, multi-step agents, and evaluation of agent quality and safety • Expert Python skills and fluency with pandas, scikit-learn, XGBoost or LightGBM, PyTorch or TensorFlow • Strong SQL and experience working with large data warehouses; hands-on experience with Snowflake • Comfort using AI coding assistants such as Claude, with the judgment to review, test, and validate AI-generated code and protect customer data • Solid grounding in A/B testing, offline-to-online metric alignment, and statistical inference • Experience leading technical direction across teams without direct authority and mentoring senior data scientists • Clear communication with technical and non-technical partners, including executives • Nice to have: Databricks or similar platforms, e-commerce/grocery/quick-commerce or marketplace experience, real-time or session-based recommendations, contextual bandits or reinforcement learning, agent frameworks and LLM evaluation tooling, model fine-tuning or distillation, dbt, Airflow, publications, patents, or open-source work

🏖️ Benefits

• Medical/Dental/Vision Insurance • 401(k) Retirement Savings Plan • HSA or FSA eligibility • Long and Short-Term Disability Insurance • Fitness Reimbursement Program • 25% employee discount & FAM Membership • Flexible PTO • Group Life Insurance • EAP through AllOne Health (formerly Carebridge) • Discretionary annual cash bonus • Participation in Gopuff’s equity incentive plan