Director, Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the comprehensive data science roadmap across Consumer, Delivery, and Ads by converting business priorities into a coherent ML strategy with defined milestones and measurable ROI.

• Deliver robust technical guidance and mentorship to a team of Data Scientists and ML Engineers, establishing best practices for model development, assessment, and deployment.

• Collaborate with C-suite and senior product leaders to shape product strategy and foster organizational confidence in ML-driven decision-making.

• Cultivate a culture of experimentation by defining measurement frameworks, advocating for rigorous A/B testing, and ensuring the team is accountable for business impact.

• Oversee the design and ongoing enhancement of Gopuff's search ranking and query understanding systems, which include semantic search and intent modeling.

• Develop and scale personalization infrastructure that enhances the customer experience in real-time, from homepage carousels to dynamic upsell and cross-sell opportunities.

• Create next-generation recommendation models (collaborative filtering, two-tower retrieval, contextual bandits) that increase basket size and encourage repeat purchases.

• Collaborate with Product to establish upsell and nudge strategies based on behavioral signals and causal inference.

• Work closely with Gopuff engineering teams to implement search and recommendation enhancements.

• Own the predictive models that ensure ETA accuracy, dynamic dispatch, and driver routing, which support Gopuff's commitment to speed.

• Utilize ML to enhance zone coverage, demand forecasting, and fleet utilization, directly impacting contribution margin.

• Partner with Operations to translate model outputs into actionable tools for fulfillment center and driver teams.

• Architect and manage Gopuff's ad ranking stack, focusing on query-ad relevance scoring, multi-objective ranking (revenue × customer experience), and auction mechanics.

• Develop CTR/CVR prediction models and closed-loop attribution pipelines for sponsored products, display, and offsite formats.

• Define and enhance advertiser-facing ML products, including bid optimization, budget pacing, audience targeting, and incrementality measurement.

• Collaborate with the Ads Product and Sales teams to enhance advertiser ROI while safeguarding the organic shopping experience.

⛳️ Requirements

• 8+ years of experience in applied data science or ML, including a minimum of 3 years managing teams of scientists and engineers in a dynamic tech or e-commerce setting.

• Experience with ad ranking or retrieval systems in e-commerce, marketplace, or search contexts, particularly in relevance modeling and multi-objective optimization. Proven track record of building and deploying.

• Expertise in two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling. In-depth knowledge of modern ML architectures.

• Strong product intuition and business acumen, capable of linking model enhancements to revenue, NPS, and operational metrics while communicating this effectively to executives.

• Proficient in Python and comfortable engaging with model code, experiment pipelines, and production systems. Hands-on coding experience is essential.

• Familiarity with feature stores, model registries, real-time serving, and experimentation platforms, alongside experience with large-scale ML infrastructure.

• Proven ability to build and maintain diverse, high-performing data science teams.

• Previous leadership experience in a consumer marketplace, quick-commerce, grocery, or retail media company.

• Understanding of retail media network (RMN) measurement standards and privacy-preserving attribution techniques.

• Experience with real-time personalization at scale, including streaming feature pipelines. Familiarity with Databricks and Snowflake is advantageous.

• Publications or presentations at conferences such as NeurIPS, KDD, RecSys, SIGIR, or similar are a plus.

🏝️ 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)