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10x Genomics is seeking a Senior Data Scientist to join the Strategic Insights & Analytics team, which sits at the intersection of data science, finance, and business strategy. This is a high-impact individual contributor role focused on designing, building, and maintaining the analytical representation of how the company operates and grows to support strategic decisions.
You will work on four primary areas:
**Data and Semantic Foundations:** Define and implement customer and market segments across systems, enrich with telemetry and other data, develop versioned metric definitions and business context, and improve the enterprise data warehouse and semantic layer (dbt, GitHub, Snowflake).
**Customer, Market, and Growth Models:** Model growth sources (new vs. existing customers by segment), analyze activation, retention, and expansion, perform cohort analysis and funnel conversion, and build sales/marketing/service capacity and effectiveness models.
**Forecasting and Planning Models:** Build territory, account, and instrument-level demand forecasts and LTV models; migrate planning models from spreadsheets to versioned models in GitHub.
**Enablement and Automation:** Unify business review cadence on standardized views tied to company goals, enable self-serve analytics and insights, and replace manual work with agentic workflows.
**Stakeholder Partnership:** Program manage cross-functional initiatives, translate ambiguous business requirements from leaders into structured analytical products, and communicate recommendations clearly to senior management.
The team treats analytics as an engineering discipline, grounding models in the scientific process, versioning in code repositories, and delivering as internal products. You will collaborate closely with senior business leaders and embed within teams across the organization to drive impact.
**Requirements:**
- Master's degree in a quantitative discipline (Statistics, Engineering, Mathematics, Computer Science, Data Science) or an MBA with technical focus
- 7+ years of 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
- SQL and Python for data manipulation and predictive modeling
- AI-first mindset with experience shipping working systems using AI coding tools (Claude Code or similar) and 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
- Deep experience with sales processes and tools, specifically Salesforce CRM, quota and territory assignment, and B2B enterprise demand generation funnel
- Understanding of how a business makes money and ability to trace commercial decisions through to revenue, margin, and cash
- Extreme bias for action and comfort working in fast-paced environment with ambiguous requirements
- Outstanding communication and interpersonal skills with ability to present technical work to senior management and non-technical audiences
