Senior Data Scientist, Strategic Insights & Analytics

10x Genomics•Pleasanton, CA

About The Position

The Strategic Insights & Analytics team sits at the intersection of data science, finance, and business strategy. We design, build, and maintain the analytical representation of how the company operates and grows to support strategic decisions, our ultimate product. We treat this as an engineering discipline: grounding models in the scientific process, versioning in code repositories, and delivering as internal products that support consequential business decisions. We are looking for high-agency, cross-disciplinary individuals with a passion for business strategy and applied data science. You should share our ambition and conviction that modern AI coding tools now enable us to evolve historically fragmented, static, spreadsheet-driven models into a single unified analytical model of the company. We want individuals who fully leverage this tech stack to build analytical products and can drive strategic decisions end-to-end. This is a high-impact individual contributor role. You will collaborate closely with senior business leaders and embed within teams across the organization to drive impact, then move on to the next highest-leverage problem.

Requirements

Master's degree in a quantitative discipline (Statistics, Engineering, Mathematics, Computer Science, Data Science) or an MBA with a technical focus; [7+ years] experience in data science, analytics, corporate strategy, business operations, management consulting, or similar roles using analytics and applied data science to solve complex business problems and drive strategic decisions
Hands-on depth in cohort and retention analysis, regression, time series, causal inference and experiment design, and supervised and unsupervised models; experience deploying machine learning models into production to solve commercial or operational problems
SQL and Python for data manipulation and predictive modeling; reflexively AI-first, with experience shipping working systems using AI coding tools (Claude Code or similar) and the aptitude to learn new tools quickly; supporting stack: Git, Github, Snowflake, dbt or similar, CI/CD tools, comfortable building code-based, version-controlled reporting and dashboards that replace legacy tools like Tableau or PowerBI
Deep experience with sales processes and tools, specifically Salesforce CRM, quota and territory assignment, and the B2B enterprise demand generation funnel; you understand how a business makes money and can trace a commercial decision through to revenue, margin, and cash
Extreme bias for action and comfort working in a fast-paced environment with ambiguous requirements; you assume AI can do something until proven otherwise, scope problems and verify your own work, and design for the end user
Outstanding communication and interpersonal skills, with the ability to present technical work to senior management, sales leadership, and non-technical audiences and to influence cross-functional teams

Responsibilities

Defining and implementing customer and market segments across systems, enriching with telemetry and other data; developing versioned metric definitions and business context so people and AI reason over a shared model; improving our EDW and semantic layer (dbt, GitHub, Snowflake)
Modeling where growth comes from (new versus existing customers, by segment); activation, retention, expansion; cohort analysis; funnel conversion; sales/marketing/service capacity and effectiveness models
Building territory, account, and instrument-level demand forecasts and LTV models; migrating planning models from spreadsheets to versioned models in Github
Unifying the business review cadence on standardized views tied to company goals; enabling self-serve analytics and insights; replacing manual work with agentic workflows
Program managing cross-functional initiatives, translating ambiguous business from leaders into structured analytical products; communicating recommendations clearly