SeniorManager,DataScience&Analytics

## Accountabilities In this role, you will lead the evolution of the internal data science and analytics function, ensuring it delivers measurable business value and strategic insight. Lead, mentor, and develop a team of Data Scientists and Analysts supporting cross-functional business units Drive behavioral analytics, customer segmentation, experimentation, and product performance measurement initiatives Build and maintain forecasting models, churn predictions, customer health scoring systems, and revenue or opportunity models Partner closely with stakeholders across Product, Marketing, Sales, and Customer Experience to influence strategy and priorities Collaborate with data engineering to enhance internal analytics platforms and enable scalable self-service analytics Define standards, frameworks, and best practices to ensure consistency, rigor, and efficiency in analytics delivery Requirements The ideal candidate brings a strong combination of technical expertise, leadership capability, and business acumen. 7+ years of experience in Data Science, Product Analytics, Business Analytics, or a related quantitative field Proven experience leading and developing high-performing analytics or data science teams Strong expertise in experimentation design, statistical analysis, forecasting, and behavioral analytics Advanced SQL skills and proficiency in Python or similar analytical programming languages Experience designing metrics frameworks and driving data-informed decision-making in product or growth contexts Ability to communicate complex insights clearly to both technical and non-technical stakeholders, including senior leadership Hands-on experience with modern data stacks (e.g., Snowflake, dbt, and product analytics tools) Experience in B2B SaaS, PLG, or subscription-based business models is strongly preferred Benefits Competitive base salary range: USD $170,000 – $200,000, depending on experience 100% coverage of medical, dental, vision, mental health, and suppleme