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Snap Finance
Snap Finance
1.001 – 5.000 Angajați
Sponsor pentru viza H1BComerț cu amănuntulFinanțeFintech
Snap Finance este o companie de servicii financiare și tehnologie financiară care îi ajută pe consumatori să distribuie costul achizițiilor prin planuri de plată flexibile și opțiuni de închiriere cu posibilitate de cumpărare. Soluțiile sale de finanțare sprijină achiziții din categorii precum mobilier, saltele, jante și anvelope, electrocasnice, produse electronice și bijuterii. Snap Finance colaborează cu peste 150.000 de parteneri de retail, atât în magazine, cât și online, și utilizează o abordare alternativă pentru evaluarea bonității, concepută să ofere acces la finanțare fără a afecta scorul FICO al clientului. Fondată în 2012, compania activează la intersecția dintre finanțarea pentru consumatori, retail și tehnologie.
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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.

USStatele Unite ale AmericiiUTUtahHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
ApacheHadoopPythonSparkSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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