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Senior Manager, Data Science & Analytics

Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.

About the job

What you'll do

  • Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
  • Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
  • Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
  • Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
  • Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.

What we're looking for

  • 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
  • Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
  • Advanced SQL skills and proficiency with Python or similar analytical tools.
  • Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
  • Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
  • Comfortable balancing strategic leadership with hands-on analytical work when needed.
  • Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
  • Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
  • Based in the Americas, remote-friendly.

Compensation & Benefits

  • Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment.
  • 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
  • 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

Skills

SQL, Python, Snowflake, dbt, Experimentation, Forecasting, Statistical Analysis, Product Analytics, Behavioral Analytics, Customer Segmentation

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