Sr. Data Scientist - Behavioral & Statistical Analytics

Sr. Data Scientist – Behavioral & Statistical Analytics

Role

Summary:

The Sr. Data Scientist – Behavioral & Statistical Analytics plays a critical role in building the analytical foundation for Internet Brands’ personalization and AI-driven products. This role focuses on deep analysis of user behavior to uncover meaningful patterns, triggers, and signals that inform personalized experiences and adaptive learning pathways across our platforms. You will work at the intersection of data science, product, ontology, and machine learning to translate behavioral data into statistically grounded insights that directly shape personalization logic, signal prioritization, and model inputs.

This role emphasizes rigorous statistical reasoning, longitudinal thinking, and user-centric analysis rather than pure model development.

• Behavioral & Cohort Analysis
  • Perform cohort, behavioral, and longitudinal analyses to understand user journeys, engagement evolution, and retention dynamics over time.
  • Analyze user interactions across products to identify behavioral sequences, inflection points, and drop-off patterns.
  • Segment users based on behavioral traits, learning states, intent signals, and engagement profiles.
• Signal Discovery & Evaluation
  • Identify high-value behavioral signals that correlate with engagement, learning outcomes, conversion, or long-term value.
  • Detect engagement drivers, friction points, and learning gaps that inform personalization opportunities.
  • Evaluate signal stability, predictive strength, and interpretability across different user populations and time horizons.
• Statistical Rigor & Evidence
  • Apply statistical methods (e.g., hypothesis testing, regression, survival analysis, causal inference, experimentation analysis) to support signal prioritization and product decisions.
  • Quantify confidence, uncertainty, and effect sizes to guide downstream ML and product logic.
  • Partner with experimentation teams to analyze A/B tests and incremental impact of personalization features.
• Cross-Functional Collaboration
  • Collaborate closely with Ontology, Product Management, and Machine Learning teams to define user-centric personalization logic grounded in behavioral evidence.
  • Translate analytical findings into clear, actionable insights for technical and non-technical stakeholders.
  • Help define behavioral metrics, taxonomies, and signal definitions that scale across products and domains.
• Data Foundations & Enablement
  • Partner with data engineering to ensure behavioral data is well-instrumented, reliable, and analysis-ready.
  • Contribute to documentation and shared understanding of behavioral signals, metrics, and analytical frameworks.
  • Support the broader Personalization team by providing analytical guidance and reusable methodologies.

Required:

• Bachelor’s or Master’s degree in Statistics, Data Science, Economics, Psychology, Applied Mathematics, or a related quantitative field.
• 5+ years of experience in a data science, behavioral analytics, or applied statistics role.
• Strong foundation in statistical analysis and experimental design.
• Experience performing cohort, funnel, and longitudinal analyses on large-scale user data.
• Proficiency in SQL and at least one analytical programming language (Python or R).
• Ability to communicate complex analytical concepts clearly to cross-functional partners.

Preferred:

• Experience working on personalization, recommender systems, learning systems, or behavioral modeling.
• Familiarity with causal inference techniques and observational data challenges.
• Experience partnering with ML teams to inform feature engineering or model inputs.
• Background in consumer internet, marketplaces, SaaS, or content-driven platforms.
• Exposure to ontology, taxonomy, or structured knowledge systems is a plus.

• Be part of a newly formed Personalization team with high visibility and impact.
• Shape how AI-driven personalization is built across a diverse portfolio of products.
• Work on real-world, high-scale user behavior data with meaningful business outcomes.
• Collaborate with strong product, ML, and data partners in a growing AI organization.

At Internet…