Data Science Analyst
OneMain Financial
Data Science Analyst Locations: Wilmington, DE; Charlotte, NC (Hybrid) As an Data Science Analyst, you'll develop the technical skills to build the machine learning systems that drive our company and produce great customer outcomes. You'll get hands-on experience as you apply your talents, creativity, and passion to create innovative solutions to real-world data science use cases. No matter the projects, you'll have the opportunity to explore, while learning from experts in consumer lending in a close-knit team-oriented environment. This role will provide exposure across multiple disciplines to accelerate your career growth.
In the Role:
In the Role:
- Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems.
- Actively contribute to our team's vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with.
- Develop creative technical solutions to improve the company's decision making, the customer's experience, and shareholder returns.
- Evaluate non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments.
- Mine the "digital exhaust" of our marketing campaigns to identify new populations who would benefit from our products.
- Partner with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers.
- Current post-graduate degree student in a quantitative discipline (Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science) with an expected graduation date of Winter 2026 or Spring 2027.
- Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience.
- Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects.
- Experience in use of open-source machine learning libraries (Python or R).
- Innovative and capable of developing creative solutions to complex, data-driven problems.
- Successful candidates will possess strong analytic, strategic thinking, communications, and leadership skills.
- They will also demonstrate curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action.
- Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges.
- You are ready to launch your data science career.
- You want to create solutions to help hard-working Americans improve their financial lives.
- You want to work on a modern cloud-based data infrastructure.
- You want to directly learn from some of the best data science and business leaders in consumer finance.
- You want to be part of a team which is nimble, collaborative, diverse, and fun.
- Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
- Up to 4% matching 401(k)
- Employee Stock Purchase Plan (10% share discount)
- Tuition reimbursement
- Paid time off (15 days vacation per year)
- Paid sick leave as determined by state or local ordinance, prorated based on start date
- Paid holidays (11 days per year, based on start date)
- Paid volunteer time (3 days per year, prorated based on start date)
- Most Loved Workplace 2022, 2023, 2024, and 2025
Vacancy posted 3 days ago
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