Data Scientist III

Snap Finance US; West Valley City (UT); Hybrid; USD 115,000 - 145,000; Full time

Benefits offered by this job

Generous PTO

Health coverage

401K with match

Life insurance

Disability insurance

Wellness resources

Volunteer time

Job summary

Snap Finance is seeking a Data Scientist III to apply statistics, ML, and data-driven methods to support Sales and B2B marketing. This hybrid role is based in Salt Lake City, UT, with relocation eligibility within 90 days.

You will partner with cross‑functional teams to translate business questions into actionable analytics and predictive models. The ideal candidate brings strong SQL, Python or R, and experience taking data science projects from development to production, in a consumer finance

Qualifications

• Ability to generate robust statistical analyses (power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods).
• 3-5 years working in a data science position or equivalent.
• MS in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, or related.
• BS in the fields described above will be considered if the skill set and experience are robust.
• Strong SQL skills and the ability to extract data from non-relational data sources.
• Advanced modeling methods: Classification (Neural Net, Logistic Regression, DTs, KNN, RF); Regression (Linear, Nonlinear, Boosted Trees); Clustering (K-means, etc.).

Responsibilities

• Design and implement experiments and processes to evaluate business performance, new products, and product features.
• Compile data, apply multidimensional aggregation, and evaluate business impact.
• Interact with stakeholders to understand questions, craft methodologies, and deliver insights.
• Mine, model, and analyze large datasets using predictive techniques; validate models and support analytics.

Skills

Statistics

Experimental design

SQL

Python

R

Machine learning

Data mining

Hypothesis testing

Bayesian methods

Frequentist methods

Education

MS in quantitative fields (Statistics, Econometrics, Math, Physics, CS)

BS in similar fields

Tools

Non-relational data sources

Job description

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. If you're looking to make an impact and grow with a team that values you, come join us!

Job Description

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. This role follows a hybrid work model based out of our Salt Lake City office. Candidates should currently reside in the Salt Lake City area or be willing to relocate within 90 days of their start date. We believe in‑person collaboration plays an important role in building strong partnerships, accelerating development, and staying connected as a team.

How you’ll make an impact

• Experimental Design and Evaluation: Design and implement experiments and processes for evaluating business performance, new products, and product features. Conducting required analyses incorporating project design, data collection, and analysis, summarizing findings, and presenting results in an understandable manner.
• Business Impact Analysis: Compiling appropriate data, applying multidimensional data aggregation, and performing profile analysis to evaluate business impact. Handling large volumes of transaction‑level data to derive actionable results efficiently.
• Stakeholder Interaction: Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets, and delivering insightful recommendations. Keeping up to date with the latest technology trends.
• 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.

Required Qualifications

• Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods).
• 3-5 years working in a data science position or performing work that aligns with the required skills in another position.
• M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field.
• B.S. in the fields described above will be considered if the skill set and experience are robust.
• Strong SQL skills and the ability to extract data from non‑relational data sources.
• Advanced understanding and professional experience with the following methods: Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest); Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees); Clustering methods (e.g., K‑means, Fuzzy C‑means, Hierarchical Clustering, Mixture Modeling).
• Demonstrated ability to take data science projects from development to production.
• Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad‑hoc analysis requests, and generates insightful deep dives.
• Familiarity and experience with concepts in consumer finance, sales operations, and B2B marketing methods.
• Expertise in one or more modeling/machine learning programming languages such as R or Python.

What would make you stand out

• Experience with a variety of data structures and databases (SQL, no‑SQL, graph, etc.).
• Knowledge about Big Data related techniques (e.g., Map‑Reduce, Hadoop, Hive, Apache Spark).

Why Join Us

• Generous paid time off
• Competitive medical, dental & vision coverage
• 401K with company match for US
• Company‑paid life insurance
• Company‑paid short‑term and long‑term disability
• Access to mental health and wellness resources
• Company‑paid volunteer time to do good in your community
• Legal coverage and other supplemental options
• A value‑based culture where growth opportunities are endless

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.

California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

Our Mission and Success are creating opportunities. As this Snap team continues to grow, we are selecting the most talented individuals to join and contribute - our continued success depends on it!

Thank you for considering Snap as your employer of choice!