Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Wilmington, DE
Live, first seen by us 61 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Apply statistical and machine learning techniques to unstructured business problems
Evaluate non-traditional data sources for better underwriting decisions
Mine marketing campaign data to find new customer populations
Partner with operations teams to surface data insights for branch staff
Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems
Evaluate non-traditional data sources to see if they result in better underwriting decisions
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
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).
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Day 61
Up longer than most. Similar jobs usually come down between day 7 and day 57.
At Myhrhome, jobs usually come down by about day 33.
From 10,604 similar postings that came down, and 13 of Myhrhome’s. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
Complete your application on myhrhome.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Data Science Analyst job there since May 2026. It came down after 0 days.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
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.
Requirements:
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.
Preferred:
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.
About You:
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.
Who we Are:
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with:
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
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.
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No pay amount identified in the saved description.
Wilmington, DE
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.
- Most Loved Workplace 2022, 2023, 2024, and 2025 OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.