Senior Data Scientist (Growth)

About the role

As a Senior Data Scientist (Growth) on our Product team, you will be the primary architect of our understanding of user behavior. Reporting directly to the Head of Data Analytics, you will serve as the dedicated data scientist partner for our Product and Growth teams. Your mission is to go beyond descriptive analytics - building predictive models and behavioral frameworks that allow us to anticipate user needs, identify friction before it becomes churn, and surface the signals that drive long-term retention. This is a high-leverage, deeply technical role. You will own the full analytical lifecycle: from schema design and data quality through feature engineering, modeling, and insight delivery. You will be the bridge between our Data Engineering team and our Product organization, ensuring the infrastructure we build supports ambitious, model-driven growth decisions. You will also play a key role in understanding how different user audiences discover, adopt, and derive value from our product - connecting acquisition signals to downstream behavioral outcomes to build a complete picture of growth.

Responsibilities

• Model User Behavior Predictively: Build and deploy models that forecast retention, churn risk, and engagement trajectories - moving from reactive reporting to proactive intervention.
• Identify Leading Indicators: Discover early behavioral milestones - the "Aha! moments" - that predict long-term user success, using cohort analysis, survival modeling, and feature importance techniques.
• Drive Experimentation: Design, implement, and analyze A/B tests across product features, providing the statistical rigor needed to inform high-stakes launch decisions.
• Build the Behavioral Data Foundation: Manage the flow of data from our production Postgres environment and behavioral tools into Snowflake, building the transformation layers (dbt) that power self-serve analytics and model feature pipelines.
• Define Strategic Metrics: Partner with Product leads to define North Star metrics and develop the input/output maps that connect day-to-day product decisions to long-term growth outcomes.
• Combat Churn Proactively: Develop deep, model-driven insights into engagement patterns to identify at-risk users and surface actionable signals before churn impacts the bottom line.

Requirements

• 5-8 years of experience in product data science, growth analytics, or a related quantitative role, with demonstrated impact driving product and growth decisions through experimentation and data analysis
• Predictive Modeling Expertise: Hands-on experience building and validating ML/statistical models in a production or near-production context - churn models, propensity scores, LTV forecasting, or similar user behavior applications.
• Technical Mastery: Expert-level SQL and hands-on experience with modern data warehouses (Snowflake) and event-based tracking tools (PostHog, Segment, or similar). Proficiency in Python for data modeling and analysis.
• Strategic Mindset: Proven ability to translate messy behavioral data into a clear narrative, identifying not just what is happening, but why and what to do next .
• Data Quality Advocate: A pragmatic approach to data governance - you are as comfortable debugging a broken tracking tag as you are p

Additional Information

About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We're shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people's potential. Inflection AI created Pi, the world's first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI's foundation model, proving that AI can be personal, empathetic, and contextually aware.

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