Senior Product Data Scientist

About the role

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.

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.
• Identify opportunities to enhance the product’s ability to drive growth autonomously.
• Develop frameworks for testing new features, pricing models, and onboarding flows.
• Experimentation & Optimization
• Design, execute, and analyze A/B tests and other products experiments to validate hypotheses that accelerate product-led growth.
• 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.

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.

Salary Range

The Salary Range for this role is $120,000 - $180,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions—apply even if your expectations fall outside the range.