Sr Data Scientist

Regis University

2d•$99,000 - $149,783•Remote

About The Position

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! 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. In this role, the Senior Data Scientist will design and deliver end-to-end analytical and machine learning solutions that support customer-facing decisions, internal simulations and analytics, and strategic decision making. The associate will contribute from data acquisition through model development, implementation, monitoring, and ongoing maintenance across a range of approaches (e.g. XGBoost/LightGBM, Bayesian methods, and other statistical/ML techniques). They will also support experimentation and measurement, including A/B testing and more advanced methods where appropriate (e.g., multi-arm bandits), and help communicate results through clear storytelling, executive-ready materials, and well-structured decks. Where valuable, the associate may incorporate modern large language model (LLM) techniques to work with unstructured data and build practical LLM-enabled workflows with appropriate evaluation, monitoring, and governance. The associate will interact with, influence, and collaborate with all levels within the organization to understand and implement business solutions, including defining success metrics and managing OKRs.

Requirements

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.
Must pass drug screen, criminal and credit background checks

Nice To Haves

Advanced degree preferred
Experience with consumer finance is desired
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 met 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.

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