Snap Finance
Snap Finance
Snap Finance — тұтынушыларға икемді төлем жоспарлары мен кейін сатып алу мүмкіндігі бар жалға алу нұсқалары арқылы сатып алу шығындарын бөліп төлеуге көмектесетін қаржылық қызметтер және финтех компаниясы. Оның қаржыландыру шешімдері жиһаз, матрас, дөңгелек пен шина, тұрмыстық техника, электроника және зергерлік бұйымдар сияқты санаттардағы сатып алуларды қолдайды. Snap Finance дүкендерде де, онлайн да жұмыс істейтін 150 000-нан астам бөлшек сауда серіктесімен қызметтеседі және клиенттің FICO ұпайына әсер етпей қаржыландыруға қолжетімділікті қамтамасыз етуге бағытталған кредит қабілеттілігін бағалаудың балама тәсілін қолданады. 2012 жылы құрылған компания тұтынушылық қаржы, бөлшек сауда және технология тоғысында жұмыс істейді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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