Director of Data Science, Gopuff

• 8+ years in applied data science or ML, with at least 3 years managing teams of 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 — including relevance modeling and multi-objective optimization
• Deep expertise in modern ML architectures: two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling
• Strong product intuition and business acumen — you can connect model improvements to revenue, NPS, and operational metrics and communicate this clearly to executives
• Hands-on coder: proficient in Python and comfortable diving into model code, experiment pipelines, and production systems
• Experience with large-scale ML infrastructure: familiar with feature stores, model registries, real-time serving, and experimentation platforms
• Track record of building and retaining diverse, high-performing data science teams

Desirable

• As Director of Data Science, you will lead a high-impact team responsible for the models and intelligence that power Gopuff's consumer experience, delivery network, and advertising platform. This is a hands-on leadership role — you'll set technical direction, architect solutions, and write code alongside your team. You'll partner closely with Product, Engineering, and Business leaders to translate complex ML capabilities into measurable business outcomes
• Own the end-to-end data science roadmap across Consumer, Delivery, and Ads — translating business priorities into a coherent ML strategy with clear milestones and measurable ROI
• Provide strong technical direction and mentorship to a team of Data Scientists and ML Engineers; establish best practices for model development, evaluation, and deployment
• Partner with C-suite and senior product leadership to influence product strategy and build organizational confidence in ML-driven decision-making
• Drive a culture of experimentation: define measurement frameworks, champion A/B testing rigor, and hold the team accountable to business impact
• Lead the design and continuous improvement of Gopuff's search ranking and query understanding systems, including semantic search and intent modeling
• Build and scale personalization infrastructure that adapts the customer experience in real time — from homepage carousels to dynamic upsell and cross-sell surfaces
• Develop next-generation recommendation models (collaborative filtering, two-tower retrieval, contextual bandits) that drive basket size and repeat purchase
• Partner with Product to define upsell and nudge strategies grounded in behavioral signals and causal inference
• Work day to day with gopuff engineering teams to bring search and recommendation changes to life
• Own the predictive models powering ETA accuracy, dynamic dispatch, and driver routing that underpin Gopuff's speed promise
• Apply ML to optimize zone coverage, demand forecasting, and fleet utilization — directly impacting contribution margin
• Partner with Operations to turn model outputs into actionable tooling for fulfillment center and driver teams
• Architect and own Gopuff's ad ranking stack — query-ad relevance scoring, multi-objective ranking (revenue × customer experience), and auction mechanics
• Build CTR/CVR prediction models and closed-loop attribution pipelines for sponsored product, display, and offsite formats
• Define and improve advertiser-facing ML products: bid optimization, budget pacing, audience targeting, and incrementality measurement
• Collaborate with the Ads Product and Sales teams to grow advertiser ROI while protecting the organic shopping experience