Data Scientist II

Russell Tobin • San Diego, CA

3d • Hybrid

About The Position

The Data Scientist II will use strategic and applied data science to identify where expert-driven customer engagement can deliver value. The role involves sizing opportunities, identifying underserved customer segments, and framing business questions for analysis. It will analyze customer journey and engagement signals to determine when and for whom experts should engage, including building predictive models to identify customers likely to benefit.

The position designs and analyzes experiments and uses causal inference methods when randomization is not feasible. It partners with expert operations and product teams to develop targeting rules and engagement approaches, and provides actionable recommendations even when data is incomplete. The role also defines performance KPIs and builds standardized dashboards for stakeholder self-service. Work is hybrid, with three days in the office in Mountain View or San Diego, California.

Requirements

• At least 4 years of experience in product analytics or marketing analytics.
• At least 4 years of applied data science experience; customer experience measurement, growth analytics, or expert- or agent-assisted service exposure is desired.
• At least 4 years of experience in data models.
• Advanced proficiency in SQL and big data technologies such as Databricks, Spark, Redshift, or BigQuery.
• Comfort with a BI tool such as Tableau, Qlik, or Dash.
• Solid grounding in A/B/n experimentation design and causal inference methods, including propensity score matching, difference-in-differences, and synthetic control.
• Ability to apply causal methods when clean experiments are not feasible.
• Strong business acumen and strategic thinking, including the ability to translate ambiguous business questions into testable hypotheses and measurement plans.
• Strong data storytelling skills, including rapidly building clear visualizations and communicating insights to non-technical stakeholders.
• Bachelor’s degree in an IT-related or Engineering field.

Responsibilities

• Identify and size opportunities for expert-driven customer engagement, including underserved segments and questions to investigate.
• Analyze customer journey and engagement signals to identify optimal timing and customer segments for expert engagement.
• Build predictive models to flag customers who are most likely to benefit from expert engagement.
• Design and analyze A/B tests and use causal methods such as propensity score matching, difference-in-differences, and synthetic control when clean randomization is not feasible.
• Partner with expert operations and product teams to turn data patterns into ideas, targeting rules, and expert engagement approaches.
• Provide actionable recommendations, including when complete data is unavailable.
• Define KPIs such as efficacy, incremental lift, and opportunity capture.
• Build standardized dashboards that allow stakeholders to track performance without one-off requests.

Benefits

• Eligible employees may receive medical, dental, and vision coverage.
• Supplemental accident, critical illness, and hospital indemnity insurance.
• 401(k) retirement savings plan.
• Life and disability insurance.
• Employee assistance program.
• Identity theft protection.
• Legal support.
• Auto and home insurance.
• Pet insurance.
• Employee discounts with preferred vendors.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level