Data Scientist

Company Overview

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we’ve used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We’re proud of our inclusive, supportive culture built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.

Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real‑world problems with robust data. The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working within a consumer finance company, specifically focusing on supporting the Sales and B2B Marketing departments.

• Data Mining and Modeling:
  • Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques.
  • Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies.
• Experimental Design and Evaluation:
  • Design and implement experiments and processes for evaluating business performance, new products, and product features.
  • Conduct required analyses incorporating project design, data collection, analysis, summarizing findings, and presenting results.
• Business Impact Analysis:
  • Compile data, apply multidimensional data aggregation, perform profile analysis.
  • Handle large volumes of transaction‑level data efficiently.
• Stakeholder Interaction:
  • Interact with stakeholders to understand their business questions.
  • Deliver insightful recommendations.
  • Keep up to date with the latest technology trends.

• 3–5 years working in a data science position or performing comparable work in another role.
• M.S. in a quantitative field such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or a related field.
• B.S. considered if skills and experience are robust.
• Expertise in R or Python.
• Strong SQL and the ability to extract data from non‑relational sources.
• Advanced knowledge of classification, regression, clustering, statistical analysis, experimental design, Bayesian and frequentist methods.
• Experience taking data science projects from development to production.
• Skilled analyst who produces regular reporting content for key stakeholder meetings and responds to ad‑hoc requests.
• Familiarity with consumer finance, sales operations, and B2B marketing.

• Experience with a variety of database systems (SQL, No‑SQL, graph).
• Knowledge of Big Data techniques such as Map Reduce, Hadoop, Hive, Apache Spark.

• Generous paid time off.
• Competitive medical, dental & vision coverage.
• 401(k) with company match for U.S. employees.
• Company‑paid life insurance.
• Company‑paid short‑term and long‑term disability.
• Access to mental health and wellness resources.
• Company‑paid volunteer time.
• Legal coverage and supplemental options.
• A value‑based culture with endless growth opportunities.

Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at

California residents, please review our California Consumer Privacy Act Notice at