Senior Product Data Scientist
Avepoint Inc - Jersey City, NJ, United States
Posted Nov 19, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Product Data Scientist Jersey City, NJ, United States 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
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