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Snap Finance
Snap Finance
1,001 – 5,000 Employees
H1B Visa SponsorFinanceFintechRetail
Snap Finance is a financial services and fintech company that helps consumers spread the cost of purchases through flexible payment plans and lease-to-own options. Its financing solutions support purchases across categories including furniture, mattresses, wheels and tires, appliances, electronics, and jewelry. Snap Finance works with more than 150,000 retail partners, both in stores and online, and uses an alternative approach to assessing creditworthiness that is designed to provide access to financing without affecting a customer’s FICO score. Founded in 2012, the company operates at the intersection of consumer finance, retail, and technology.
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Data Scientist III - West Valley City, Utah (Hybrid)

Develop predictive models, experiments, and statistical analyses for Snap Finance’s consumer finance business. Partner with Sales and B2B Marketing to turn complex data into actionable business insights.

USUnited StatesUTUtahHybridFull-timeMiddleSeniorEnglish RequiredData Scientist
ApacheHadoopPythonSparkSQL

Description

  • Evaluate business performance, new products, and product features through experiments and analytical processes
  • Plan analyses, collect and interpret data, summarize findings, and present results clearly
  • Aggregate multidimensional data and conduct profile analyses to assess business impact
  • Process large volumes of transaction-level data efficiently to produce actionable findings
  • Work with stakeholders to define business questions, develop data-mining methodologies, analyze datasets, and recommend actions
  • Stay current with emerging technology trends
  • Mine, model, and analyze large datasets using predictive modeling techniques
  • Build and validate statistical models, provide analytical support, and develop new criteria or strategies
  • Prepare recurring reports for key stakeholder meetings, handle ad hoc analysis requests, and deliver detailed analytical investigations
  • Provide data science support to Sales and B2B Marketing teams in a consumer finance environment

Requirements

  • Three to five years of experience in data science or in a related role using the required skills
  • Master’s degree in Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or a related quantitative field
  • A bachelor’s degree in a listed field may be considered with a strong skill set and substantial experience
  • Ability to perform rigorous statistical analyses, including power analysis, hypothesis testing, experimental design, hierarchical modeling, and Bayesian and frequentist methods
  • Strong SQL skills with the ability to extract data from non-relational sources
  • Advanced professional knowledge of classification, regression, and clustering methods
  • Proven ability to move data science projects from development into production
  • Strong analytical skills with experience creating recurring reports, handling ad hoc requests, and producing detailed analyses
  • Familiarity with consumer finance, sales operations, and B2B marketing concepts and practices
  • Expertise in at least one modeling or machine learning language, such as R or Python
  • Experience working with varied data structures and databases, including SQL, NoSQL, and graph databases
  • Knowledge of big data techniques such as MapReduce, Hadoop, Hive, and Apache Spark

Benefits

  • Generous paid time off
  • Medical, dental, and vision coverage
  • 401(k) with company match for US employees
  • Company-paid life insurance
  • Company-paid short- and long-term disability coverage
  • Mental health and wellness resources
  • Company-paid volunteer time for community service
  • Legal coverage and other supplemental options
  • Values-based culture with growth opportunities

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