Enhance customer engagement, retention, and loyalty across all stages of the lifecycle
Requirements
- Advanced proficiency in SQL, “big data” technologies (e.g., BigQuery, Redshift), and BI tools (e.g., Tableau, Dash)
- Familiarity with vendor platforms a plus (e.g., Google Analytics GA4, Segment, Amplitude)
- Strong programming skills in Python; experience building ML models (GenAI models a plus), including automation and custom implementations
- Deep expertise in experimentation design (A/B/n) and causal inference (Propensity Score, DiD, Synthetic Control)
- Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
Responsibilities
- Design, execute, and analyze A/B tests and other experiments using a hypothesis-driven approach
- Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning
- Define and implement standardized metrics, reports, and dashboards
- Collaborate with AI teams to integrate AI/GenAI solutions into business processes, enhancing efficiency and innovation
- Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success
Other
- 4+ years of experience working in web data science or product data science
- Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas
- Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
- Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams
- Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
