Senior Data Scientist, Strategic Insights & Analytics

10x Genomics, Inc.; Pleasanton, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

10x Genomics, Inc. is seeking an ambitious analytics professional to join the Strategic Insights & Analytics team.

You will treat analytics as an engineering discipline, building internal products that support strategic decisions across the company and collaborating with senior leaders to translate business questions into measurable models. In this role you will define data foundations and semantic layers, develop growth and forecasting models, and migrate planning from spreadsheets to versioned

Qualifications

• Master's degree or MBA with technical focus and 7+ years analytics experience.
• Strong expertise in cohort/retention analysis, regression, time series, and causal inference.
• Proficient in SQL and Python for data manipulation and modeling.
• Experience shipping AI-enabled analytics tools and dashboards.
• Excellent understanding of sales processes and enterprise funnel.

Responsibilities

• Define customer/market segments and enrich data with telemetry and context.
• Model growth sources, activation, retention, expansion, and funnel metrics.
• Build territory/account-level demand forecasts and migrate planning to versioned models.
• Unify business reviews with standardized views and enable self-serve analytics.
• Manage cross-functional initiatives and translate business needs into analytical products.

Skills

SQL proficiency

Python proficiency

Analytics & data science

Communication with stakeholders

AI-first mindset

Education

Master's degree in Statistics, Engineering, Math, CS or Data Science

MBA with technical focus

Tools

Git

Github

Snowflake

dbt

CI/CD tools

Tableau/PowerBI

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 role

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.

What you will be doing

• 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 from leaders into structured analytical products; communicating recommendations clearly

To be successful you will need

• Education & experience: 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
• 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 PowerBI
• 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. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

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.