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Staff Data Scientist, Commercial Analytics

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10x Genomics

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Location:
United States , Pleasanton

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Contract Type:
Employment contract

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Salary:

198500.00 - 268500.00 USD / Year

Job Description:

About the Position 10x Genomics sells high-complexity capital equipment and consumables into academic research institutions, biotech companies, and large pharma. Our commercial ecosystem involves long sales cycles, regional field teams, and a global distribution network which means forecasting and territory analytics here are genuinely hard and genuinely consequential. We’re hiring a Senior Data Scientist to own the commercial analytics function within our Business Insights & Analytics team. You’ll report to the Head of Business Insights & Analytics. This is a new headcount role created to deepen our ML capability as we continue to grow and scale globally. In year one, your primary mandate is threefold: (1) rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline, (2) redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts, and (3) develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field, turning reactive account management into proactive intervention.

Job Responsibility:

  • Rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline
  • Redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts
  • Develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field
  • Own end-to-end development of ML-based sales forecasting models from feature engineering in Snowflake to deployment and monitoring in our AWS environment
  • Build pipeline health and churn risk models that give our VP of Sales a forward-looking view
  • Define model evaluation frameworks and own ongoing performance monitoring
  • Design specific performance frameworks for distributor-led markets (APAC/EMEA)
  • Conduct deep-dive analyses on quota attainment, territory performance, and account penetration
  • Conduct deep customer analyses that map account health, buying patterns, and product adoption across segments
  • Act as the commercial 'voice of the data' to our Product and Software Engineering teams
  • Develop and maintain price elasticity models that define the 'scientific floor' for global discounting
  • Analyze historical discounting patterns across regions and account types (Academic vs. Pharma)
  • Build and own early-warning models that detect churn risk, stalled pipeline, and expansion readiness
  • Develop feature sets from disparate sources such as Salesforce activity, ERP order history, analytical tool usage patterns, and field notes
  • Establish a signal monitoring framework that automatically flags at-risk and high-opportunity accounts
  • Translate ambiguous business questions into structured analytical frameworks
  • Mentor junior analysts on the team

Requirements:

  • Master’s degree in a quantitative discipline such as Statistics, Engineering, Mathematics, Computer Science, Data Science, or an MBA with a technical focus
  • 7+ years of experience using analytics to solve complex business problems, including coding (Python or R), querying databases (SQL), and statistical analysis
  • Production ML Experience: Proven track record of deploying machine learning models into production environments to solve commercial or operational challenges
  • Technical Mastery: Expert-level proficiency in writing complex, efficient SQL and using Python/R for data manipulation and predictive modeling
  • Commercial Acumen: Profound experience with sales processes and tools, specifically Salesforce CRM, sales quota/territory assignment, and the B2B enterprise SaaS demand generation funnel
  • Data Visualization: Advanced knowledge of data visualization tools like Tableau or Power BI to synthesize data into actionable executive dashboards
  • Stakeholder Management: Exceptional communication and interpersonal skills, with the ability to lead through ambiguity and influence cross-functional teams

Nice to have:

  • 9+ years of experience in data science or commercial analytics within a high-growth environment
  • MLOps Expertise: Experience with Machine Learning Operations (MLOps) tools and practices to maintain model health and scalability
  • Industry Context: Experience working within a healthcare, life sciences multinational, or a leading tech-driven organization
  • Strategic Depth: Proven ability to conduct technology assessments and ROI analysis for complex organizational system solutions
What we offer:
  • equity grants
  • comprehensive health and retirement benefit programs
  • annual bonus program or sales incentive program
  • Health Package
  • Easy-to-use Benefits
  • Family oriented
  • Generous Time Off
  • Award-Winning Workplace

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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