Data Scientist III

Snap Finance

. Design and implement experiments and processes for evaluating business performance, new products, and product features .

Posted 10/2/2026full-timeWest Valley City • Utah • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis, predictive modeling, and data mining to evaluate business performance and support decision-making in consumer finance and B2B marketing. Proficient in SQL and programming languages such as R or Python for handling large datasets and generating actionable insights.

Highest-signal resume keywords

Statistical AnalysisPredictive ModelingSQL ProficiencyData MiningConsumer Finance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingExperimental DesignHypothesis TestingClassification MethodsRegression MethodsClustering MethodsData AggregationData AnalysisMachine LearningBig Data Techniques

Soft Skills

Analytical ThinkingCommunication SkillsStakeholder InteractionProblem SolvingPresentation Skills

Tools & Technologies

RPythonSQLNo-SQLHadoopHiveApache SparkMap-Reduce

Industry Keywords

Consumer FinanceB2B MarketingSales OperationsData ScienceQuantitative Analysis

Tech Stack

Tools & technologies

ApacheHadoopPythonSparkSQL

About the role

Key responsibilities & impact

Design and implement experiments and processes for evaluating business performance, new products, and product features
Conduct analyses involving project design, data collection, analysis, summarizing findings, and presenting results understandably
Compile appropriate data, apply multidimensional data aggregation, and perform profile analysis to evaluate business impact
Handle large volumes of transaction-level data to derive actionable results efficiently
Interact with stakeholders to understand business questions, craft methodologies to mine and analyze datasets, and deliver recommendations
Keep up to date with the latest technology trends
Mine, model, and analyze large datasets using predictive modeling techniques
Build and validate statistical models, provide analytic support, and develop new criteria and/or strategies
Produce regular reporting content for key stakeholder meetings, respond to ad hoc analysis requests, and generate insightful deep dives
Support the Sales and B2B Marketing departments within a consumer finance company

Requirements

What you’ll need

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
Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods)
Strong SQL skills and the ability to extract data from non-relational data sources
Advanced understanding and professional experience with classification methods, regression methods, and clustering methods
Demonstrated ability to take data science projects from development to production
Skilled analyst who produces regular reporting content, 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
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)

Benefits

Comp & perks

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