Senior Associate Data Scientist

Regional Management Corp. • Full-time • Remote (Columbia, South Carolina, United States) • $74.19k - $124.06k / year • 1m ago

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.

We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.

If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

Job Purpose

The Senior Associate 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 gather requirements and feedback from partners and stakeholders in technology, operations, risk, legal, and other domains to understand the problem and craft a solution.

The Senior Associate 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 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, computer patterns and operational processes to extract maximum value from 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

Critical Competencies

Leadership qualities
Excellent problem-solving skills
Excellent presentation skills
Strong analytical skills with strong attention to detail and high concern for data accuracy
Excellent organizational and time management skills; ability to multi-task, prioritize workload, maintain accuracy, and meet deadlines in a fast paced and high-volume environment
Ability to follow directions and apply proper analysis and assessments
Excellent communication skills; verbal, written and presentation skills
High level of integrity
High degree of self-confidence.
Must pass drug screen, criminal and credit background checks

Working conditions

Primarily and office setting
Locations: Dallas, TX, Greenville, SC or Remote

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

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.