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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Science - **Company:** GoBrands, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $215,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Automated Storage and Retrieval Systems, Python (Programming Language), Machine Learning, Dynamic Dispatch, Search Technologies, Large Language Models, Snowflake, Machine Learning Operations, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/director-data-science-gopuff-8789804 ## About the Role * 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. Preferred * 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. ## Description 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., * EAP through AllOne Health (formerly Carebridge) What You'll Do Leadership & Strategy * 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. Consumer - Search, Recommendations & Personalization * 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 Delivery Intelligence * 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. Ads & Monetization * 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. ## Related Videos - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)