Job Title

Job Description We are seeking a Data Scientist to work on product, customer, and business data for a scalable B2B SaaS platform. The role focuses on transforming large volumes of structured and semi-structured data into actionable insights, predictive models, and experimentation frameworks that directly influence product decisions, customer retention, and revenue growth. This position is best suited for candidates with prior experience in B2B SaaS or product-led environments, where data is embedded into daily decision-making. Key Responsibilities Analyzeproduct usage, customer behavior, and transactional datato identify trends, risks, and growth opportunities Build and deploystatistical and machine learning modelsfor: Customer churn prediction Retention and engagement analysis Usage forecasting and demand modeling Design, execute, and evaluateA/B tests and experimentsfor product and growth initiatives Collaborate withProduct Managers, Engineering, Marketing, and Business teamsto define data-driven strategies Develop dashboards and reports trackingSaaS metricssuch as activation, retention, churn, LTV, and conversion funnels Ensure data accuracy, quality checks, and monitoring for analytics pipelines Communicate insights clearly to technical and non-technical stakeholders Qualifications 3+ yearsof experience as aData Scientistin aB2B SaaS or product-based company Strong proficiency inPython(Pandas, NumPy, Scikit-learn) AdvancedSQLskills with experience querying large datasets Solid foundation instatistics, probability, and machine learning Experience working withSaaS business metrics(churn, retention, cohorts, funnel analysis) Experience withcloud platforms(AWS, GCP, or Azure) Ability to translate business problems into data science solutions