Senior Data Scientist, Fulfillment & Operations (REQ #R410) position available with Baby List, Inc. in Emeryville, CA. *may work remotely.


Anticipated salary for the position: $135,000 - $155,000 per year; full-time.


Responsibilities: Apply data science and analytical techniques to optimize inventory planning, demand forecasting, and fulfillment operations, translating complex operational data into actionable insights that improve supply chain efficiency and support strategic cross-functional decision-making. Lead in the development, shaping, and integration of critical software infrastructure used to make high-stakes product inventory buying decisions for the Babylist Shop and Babylist Health. Ensure these systems are robust, scalable, and deeply integrated into the procurement workflow. Architect unified data models and reporting suites for core planning KPIs (e.g., in-stock rate, turns, and weeks-of-supply). Establish a single source of truth to align Planning, Finance, and Operations on performance evaluation. Manage the Inventory Planning Hub suite of tools, supplementing SaaS platforms (such as Intuendi). Act as the primary internal data expert, building diagnostic capabilities that improve visibility and decision quality across the business. Develop high-leverage data products—including reports, forecasts, and predictive models—to drive strategic inventory and fulfillment decisions. Construct regular reporting cadences for key operational metrics. Partner closely with Product, Operations, Engineering, and Finance teams to design experiments, inform product strategy, and ensure data is used effectively in operational and strategic decisions. Proactively monitor and troubleshoot issues across the fulfillment lifecycle. Offer data-backed recommendations to resolve operational bottlenecks and improve system processes. Re-engineer daily planning tools (e.g., at-risk SKU detection) and develop automated exports for Merchandising and Planning to reduce manual effort and strengthen operational readiness. Mentor junior teammates and play a key role in hiring and talent evaluation for analytics and planning roles. Provide high impact recommendations and communications to senior leadership.


The position requires a Master’s degree, or foreign equivalent, in Computer Science, Math, Statistics, Supply Chain Engineering, Industrial Engineering or a related field.


The position also requires two (2) years of experience in job offered or in a data science-related role.


Professional and/or academic experience must include: Inventory Planning and Forecasting in Large-Scale E-Commerce Environments; Specialized Knowledge of Supply Chain and Fulfillment Operations; Advanced Analytical and Statistical Modeling Skills Applied to Complex Operational Decision-Making; and Ability to Translate Complex Analytical Insights into Cross-Functional Operational Decisions. *may work remotely. ** <5% Travel to unspecified locations with the U.S.


Must be authorized to work in the United States. Sponsorship and/or relocation are not available for this position.


Applicants should email resume/cover letter to [email protected]. Must reference REQ #R410 when applying.