Director, Data Science

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🇺🇸 United States – Remote

💵 $215k - $275k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Gopuff

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2013

💰 Funding Round on 2022-05

Groceries, Alcohol, Home Essentials & more.

📋 Description

• 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.

🎯 Requirements

• 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. • Ad ranking or retrieval systems in e-commerce, marketplace, or search contexts — including relevance modeling and multi-objective optimization. Proven experience building and shipping • two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling. Deep expertise in modern ML architectures: • Strong product intuition and business acumen — you can connect model improvements to revenue, NPS, and operational metrics and communicate this clearly to executives. • proficient in Python and comfortable diving into model code, experiment pipelines, and production systems. Hands-on coder: • familiar with feature stores, model registries, real-time serving, and experimentation platforms. Experience with large-scale ML infrastructure: • Track record of building and retaining diverse, high-performing data science teams. • Prior leadership at a consumer marketplace, quick-commerce, grocery, or retail media company. • Familiarity with 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 a plus. • Publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent.

🏖️ 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)