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Data Scientist II
Job Type: Contract, Full-Time (Potential to extend)
Location: San Diego, CA (Hybrid: 3 days a week on-site)
We’re partnering with a leading fintech company in San Diego to hire a Data Scientist II supporting their Customer Success organization’s operations and training analytics team. This is a contract engagement, working directly with internal and external stakeholders to turn data into insight the business can act on.
This is a hands-on, business-facing analytics role rather than a pure modeling position: you’ll partner with stakeholders to figure out what actually needs answering, then use statistical analysis, predictive modeling, and data mining to get there. There’s also room to occasionally guide less experienced data analysts as you take on the work.
What You’ll Do
- Perform business analysis using statistical analysis, explanatory and predictive modeling, and data mining to develop actionable insights and recommendations for current business operations.
- Work directly with internal and external stakeholders to identify analytical requirements, translating business questions into structured analysis.
- Apply causal inference techniques, including propensity score matching, difference-in-differences, and synthetic control methods, to evaluate what’s actually driving outcomes.
- Use Generative AI and other emerging technologies to accelerate insights from multi-modal data.
- Build and maintain reporting and dashboards using advanced SQL and visualization tools such as Qlik, QuickSight, Tableau, or Plotly Dash, including ad hoc data pulls and reports as needed.
- Help implement or develop systems to capture business operations information, and occasionally guide less experienced data analysts.
Required Qualifications
- BS or MS degree in Statistics, Mathematics, Computer Science, or a related field.
- Five (5) or more years of experience in data science or product analytics, with a strong foundation in predictive modeling, customer segmentation, and experimentation.
- Advanced SQL skills and proficiency with a modern visualization tool (Qlik, QuickSight, Tableau, or Plotly Dash).
- Strong Python skills for statistical analysis and modeling, including libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with causal inference techniques, including propensity score matching, difference-in-differences, and synthetic control methods.
- Experience designing and interpreting complex experiments beyond traditional A/B testing methods.
Preferred Qualifications
- Fintech or financial services experience.
- Demonstrated experience building reusable, scalable analytics solutions rather than one-off analyses.
- Track record of formulating data-backed strategies that drive measurable business growth.
What We’re Looking For
This role calls for someone who moves fluidly between the technical and the practical: comfortable in Python and SQL, but just as comfortable in a room with stakeholders figuring out what question actually needs answering. We’re looking for a quick learner who can work independently in a fast-paced environment, communicate complex findings clearly enough to influence decision-makers, and build genuinely reusable analytics rather than one-off reports.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.