Director, Data Science

1 month, 1 week ago
Full-time
Executive
Data Science and Analytics
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

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

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