Data Scientist, Strategic Insights & Analytics

10x Genomics, Inc.; Pleasanton (CA); On-site; USD 152,000 - 205,000; Full time

Benefits offered by this job

Equity grants

Health & retirement benefits

Bonus program

Job summary

10x Genomics seeks a high-impact analytics professional to join the Strategic Insights & Analytics team, embedding with cross-functional units to deliver scalable analytical products. You will ground models in data science with versioned metrics and SQL/Python tooling, driving strategic decisions across the business.

We value AI-first approaches, strong communication to senior leaders, and the ability to operate in a fast-paced environment with ambiguity.

Qualifications

• Bachelor’s or Master’s in a quantitative field or MBA with technical focus
• 5+ years in data science, analytics, or related roles
• Strong SQL and Python for data manipulation
• Experience deploying ML models to production

Responsibilities

• Define customer and market segments across systems, enriching with telemetry
• Model growth: new vs existing customers, activation and retention
• Forecasting and territory/account demand forecasts; migrate planning models to versioned models
• Unify business review cadence with standardized views tied to company goals; enable self-serve analytics
• Translate ambiguous business needs into structured analytical products for cross-functional teams

Skills

Cohort analysis

Retention analysis

Time series

Causal inference

Experiment design

ML deployment

Python

SQL

Executive communication

Sales acumen

Education

Bachelor/Master in quantitative field

MBA with technical focus

Tools

Git

GitHub

Snowflake

dbt

CI/CD

Tableau

Power BI

Claude Code

Job description

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

About the team and role

The Strategic Insights & Analytics team sits at the intersection of data science and business strategy. We build 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 a team of high-agency, cross-disciplinary individuals who pursue the highest-leverage opportunities to deliver insights and analytics, wherever they sit in the business. We share ambition and conviction that one person can now deliver what used to take a team, and that historically fragmented, static, spreadsheet-driven models can now converge into a single unified analytical model of the company. We take pride in fully leveraging modern AI tools to build analytical products and inform 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.

What you will be working on

• Data and semantic foundations: 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)

• Customer, market, and growth models: 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

• Forecasting and planning models: building territory, account, and instrument-level demand forecasts and LTV models; migrating planning models from spreadsheets to versioned models in GitHub

• Enablement and automation: unifying the business review cadence on standardized views tied to company goals; enabling self-serve analytics and insights; replacing manual work with agentic workflows

• Stakeholder partnership: program managing cross-functional initiatives, translating ambiguous business needs from leaders into structured analytical products; communicating recommendations clearly

To be successful you will need

• Education & experience: Bachelor’s or Master's degree in a quantitative discipline (Statistics, Engineering, Mathematics, Computer Science, Data Science) or an MBA with a technical focus; 5+ 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

• Analytical rigor: 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

• Technical proficiency: 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 Power BI

• Commercial acumen: 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

• High agency & product thinking: 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

• Communication skills: 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

Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package.

• 10x’s equity grants
• its comprehensive health and retirement benefit programs
• its annual bonus program or sales incentive program

USD 151,500-204,900 / year

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.