Overview:

We are seeking a Senior Product Data Scientist to join our data analytics team and drive data-informed decisions and enabling product-led-growth for our B2B SaaS products. This role will focus on analyzing product performance, understanding customer behavior, and designing experiments that optimize acquisition, adoption, retention, and growth. You will work with diverse datasets including customer transactions, feedback, telemetry, and technographics, to uncover actionable insights that shape product strategy and enhance customer experience.

Key Responsibilities:

• Analyze Product Performance:
  • Evaluate commercial performance metrics across product lines, bundles, and features in different segments.
  • Enhance product-led growth metrics such as user activation rates, feature adoption, expansion revenue, and virality.
  • Identify trends, opportunities, and risks impacting revenue and adoption.
• Customer Behavior Analysis:
  • Use statistical and machine learning methods to model customer usage patterns, needs, and retention drivers.
  • Segment customers by lifecycle stage (e.g., new, activated, power users, churn risk) to inform targeted in-product experiences and drive upsell/cross-sell through personalized product journeys.
• Experimentation & Optimization:
  • Design, execute, and analyze A/B tests and other products experiments to validate hypotheses that accelerate product-led growth.
  • Develop frameworks for testing new features, pricing models, and onboarding flows.
  • Identify opportunities to enhance the product’s ability to drive growth autonomously
• Insights & Recommendations:
  • Translate complex data into clear, actionable insights for product managers, product marketing, and business stakeholders.
  • Deliver actionable insights that empower product managers to prioritize PLG initiatives, such as optimizing self-serve onboarding, driving feature discovery, and reducing friction in the user journey
  • Build dashboards that track PLG KPIs and OKRs around activation, expansion, retention, referral.
  • Customer sentiments on products and feature requests.

Required Qualifications

• Advanced degree in Data Science, Statistics, Computer Science, or related field.
• 4+ years of experience in Product Data Science or a related role supporting product‑led SaaS teams preferred.
• Strong proficiency in Python/R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with machine learning techniques (classification, clustering, regression) and statistical modeling.
• Hands-on experience with experiment design and causal inference.
• Demonstrated experience supporting product-led growth strategies in SaaS environments, including experimentation, user segmentation, and lifecycle analytics.
• Familiarity with SaaS metrics (e.g., ARR, churn, LTV, CAC) and customer lifecycle analytics.

Preferred Qualifications

• Knowledge of telemetry and product analytics tools (e.g., Mixpanel, Amplitude, Gainsight).
• Experience working with large-scale datasets and cloud platforms (Azure, AWS, GCP).
• Strong communication skills to present insights to technical and non-technical audiences.

Impact of the Role

Your work will directly accelerate product-led growth by enabling data-driven decisions and experimentation that empower users to discover value, convert, and expand through the product experience.