Job description

Are you ready to take your career to the next level? Regional strives to positively impact the financial lives of our customers.


For over 35 years, our Team Members have been passionate about supporting customers through their financial challenges in life. They take pleasure in finding solutions and lending a helping hand, both to our customers and our communities.  As we continue to grow and become a national brand in consumer financing, we hope you’ll consider us for future career opportunities.


If you are looking to make a meaningful impact in people’s lives by bringing a personal touch to finances, join our team today!


The Senior Data Scientist uses data and analytics to deliver business value. They aren’t afraid of large, messy, or unstructured data or complex machine learning algorithms, but they won’t hesitate to solve the problem with a simple spreadsheet, if that’s the best answer. They can work directly and communicate efficiently with partners and stakeholders in technology, operations, risk, legal, and other domains to understand the problem and craft a solution.


The Senior Data Scientist in this role would help develop a novel new valuations ecosystem which would be used in customer-facing decisions, internal simulations and analytics, and strategic decision-making. The associate would be able to help design the new ecosystem, including risk models, from the development of the required data to the development, implementation, monitoring, and maintenance of machine learning solutions. The associate would interact with, influence, and collaborate with all levels within the organization to understand and implement business solutions.


Duties And Responsibilities


  • Design, develop, implement, monitor, and maintain valuations related machine learning models
  • Manage data analysis and modeling projects leveraging appropriate statistical, mathematical or machine learning tools to support business strategies and outcomes
  • Manage analytic solutions (data, tools reports, models) that advance and accelerate business partner agenda
  • Generate and synthesize customer and market insights from a wide variety of data systems
  • Prepare reports of analysis results for business partners and other non-technical audiences
  • Develop needed databases, data structures, compute patterns and operational processes to extract maximum value form existing and new data assets
  • Write “production worthy” code and perform code review and necessary testing to ensure that data products meet the highest quality and production standards
  • Identify opportunities to apply statistical methods to improve business performance, advance new strategies or to solve existing challenges.
  • Work cross-functionally with peers in Technology, product, and business analysts to identify new attributes and applications
  • Create business intelligence, dashboards, and/or other advanced analytics metrics and reports to adequately communicate the business narrative and offer recommendations that are actionable and have material impact.
  • Provide mentorship and guidance to junior level team members, modeling effective working relationships and solution-building that demonstrates product value.
  • Other duties as assigned


Minimum Qualifications


  • Bachelor’s Degree in Statistics, Computer Science, Applied Math, Physics, Engineering, Economics, Operations Research.
  • 3+ years’ experience with predictive analytics, implementing data products or analytic solutions, or related consulting experience with a proven record of performance
  • Proficient with Python, R, SQL or other common analytic programming languages
  • Familiarity with software management and change control systems, such as Git, GitHub, Bitbucket, etc.


Preferred Qualifications


  • Advanced degree preferred
  • Experience with consumer finance is desired


- Remote


Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law (“Protected Characteristics”). Regional’s policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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