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Director, Data Science

28 minutes ago
United States
Full-time
Executive
Data Scientist
Data Science and Analytics
Databricks LLM Machine Learning Python Snowflake Transformers
Apply Now
Gopuff

Gopuff

Gopuff is an instant commerce platform that delivers groceries, alcohol, home essentials, and more to consumers in minutes. With a wide range of products including cleaning supplies, medicine, pet care, beauty items, and local brands, Gopuff offers a u...

Food Products
10K-50K
Founded 2013
$2400M raised
View All Jobs 3

Description

  • Own the end-to-end data science roadmap across Consumer, Delivery, and Ads, translating business priorities into a clear ML strategy with measurable ROI.
  • Lead and mentor Data Scientists and ML Engineers, setting best practices for model development, evaluation, and deployment.
  • Partner with C-suite and senior product leaders to shape product strategy and drive ML-informed decision-making.
  • Build a culture of experimentation by defining measurement frameworks and championing A/B testing rigor.
  • Lead search ranking and query understanding systems, including semantic search and intent modeling.
  • Build and scale personalization infrastructure and recommendation models that improve customer experience and drive growth.
  • Own predictive models for ETA accuracy, dynamic dispatch, driver routing, demand forecasting, and fleet utilization.
  • Architect and own the ad ranking stack, including relevance scoring, multi-objective ranking, auction mechanics, and CTR/CVR models.
  • Develop advertiser-facing ML products such as bid optimization, budget pacing, audience targeting, and incrementality measurement.
  • Collaborate with Engineering, Product, Sales, and Operations teams to launch models and operationalize outputs.

Requirements

  • 8+ years in applied data science or ML, including at least 3 years managing scientists and engineers in a fast-paced tech or e-commerce environment.
  • Proven experience building and shipping ad ranking or retrieval systems in e-commerce, marketplace, or search contexts.
  • Deep expertise in modern ML architectures such as two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling.
  • Strong product intuition and business acumen, with the ability to connect model improvements to revenue, NPS, and operational metrics.
  • Hands-on Python experience and comfort working directly in model code, experiment pipelines, and production systems.
  • Experience with large-scale ML infrastructure, including feature stores, model registries, real-time serving, and experimentation platforms.
  • Track record of building and retaining diverse, high-performing data science teams.
  • Preferred: prior leadership at a consumer marketplace, quick-commerce, grocery, or retail media company.
  • Preferred: familiarity with retail media network measurement standards and privacy-preserving attribution techniques.
  • Preferred: experience with real-time personalization at scale, including streaming feature pipelines; Databricks and Snowflake are a plus.
  • Preferred: publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent.

Benefits

  • Medical, dental, and vision insurance.
  • 401(k) retirement savings plan.
  • HSA or FSA eligibility.
  • Long-term and short-term disability insurance.
  • Fitness reimbursement program.
  • 25% employee discount and FAM Membership.
  • Flexible PTO.
  • Group life insurance.
  • Employee assistance program through AllOne Health.
  • Discretionary annual cash bonus.
  • Participation in Gopuff’s equity incentive plan.
  • Base salary range of $215,000-$275,000.

Interested in this position?

Apply directly on the company website

Apply Now

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