Why this role stands out
This hybrid Data Scientist II role offers a competitive hourly rate and a chance to leverage your advanced analytics skills to drive significant company growth. You'll thrive here if you're a seasoned data professional eager to apply your expertise in a dynamic environment with opportunities for long-term engagement. Apply today to explore this exciting opportunity!
Quick overview
Job description
Title: Data Scientist II
Location: Mountain View or San Diego CA – 3 days in office
Pay rate: $80.00 - 82/hour DOE
Duration: 9+Months (Possibility of extension)
Responsibilities:
- Identify Opportunity & Shape Strategy: Bring strategic thinking to where and how expert-driven engagement can create the most value for customers — sizing the addressable opportunity, spotting underserved segments, and framing the questions worth answering before jumping to a solution.
- Identify Optimal Timing & Targeting: Analyze customer journey and engagement signals to determine the best moments and segments for experts to engage and build predictive models to flag which customers are most likely to benefit.
- Run Experiments & Causal Reads: Design and analyze A/B tests, and apply causal methods (propensity matching, diff-in-diff, synthetic control) when clean randomization isn't feasible, to isolate the true impact of expert engagement on outcomes.
- Generate Ideas & Recommendations: Partner with expert operations and product to turn data patterns into new ideas, targeting rules, or expert engagement approaches — providing actionable recommendations even when complete data is unavailable.
- Build Self-Serve Reporting: Define KPIs (efficacy, incremental lift, opportunity capture) and build standardized dashboards so stakeholders can track performance without one-off requests.
Skills:
- 4+ years of experience in product analytics, marketing analytics.
- 4+ applied data science — ideally with exposure to customer experience
- 4+ measurement, growth analytics, or expert/agent-assisted service
- 4+ years of experience in Data models
- Advanced proficiency in SQL and "big data" technologies (e.g., Databricks, Spark, Redshift, BigQuery); comfort with a BI tool (Tableau, Qlik, Dash)
- Solid grounding in experimentation design (A/B/n) and causal inference methods (propensity score matching, diff-in-diff, synthetic control) including comfort applying these when clean experiments aren't feasible
- Strong business acumen and strategic thinking — able to translate a fuzzy business question into a testable hypothesis and measurement plan
- Strong data storytelling skills — able to rapidly build clear visualizations and communicate insights to non-technical stakeholders
Education Required
Bachelor’s degree in an IT-related or Engineering field.
Education Preferred
Bachelor’s degree in an IT-related or Engineering field.
Additional Information
Work is expected to be done in a hybrid Schedule.
Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
Equal Employment Opportunity
Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.
Fair Chance Employment
Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.
Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.
Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.
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