Manager, Data Science

OneMain Financial; Wilmington (DE); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health and wellbeing options

401(k) matching up to 4%

Employee Stock Purchase Plan

Tuition reimbursement

Paid time off

Paid sick leave

Paid holidays

Paid volunteer time

Job summary

A financial services company in Wilmington is looking for a Data Science Manager to enhance customer experience through innovative data solutions. The successful candidate will identify high-impact opportunities, develop data science solutions, and collaborate across teams. Essential qualifications include substantial experience in data science, strong software development skills, and outstanding communication abilities. This role offers a hybrid work schedule along with robust benefits, including health insurance and a 401(k) plan.

Qualifications

• 4+ years of experience working as a data scientist.
• Experience with various modeling techniques like regression and deep learning.
• Strong software development skills in design and testing.

Responsibilities

• Identify high impact data-related opportunities and develop solutions.
• Promote best practices for model development and software design.
• Collaborate with diverse teams and communicate effectively.

Skills

Data analysis and coding experience

Modeling techniques (regression, deep learning, NLP)

Software development skills

Building self-contained solutions

Mathematical and algorithmic aptitude

Outstanding communication skills

Cross-functional team collaboration

Risk management mindset

Job description

Manager, Data Science

Location: Wilmington, DE (Hybrid Schedule)

OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast‑moving Data Science team.

Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.

Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model‑building techniques; and developing algorithmic solutions to automate income verification.

Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.

Responsibilities:

• Identify high impact opportunities where a model or data‑related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
• Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
• Promote best practices for model development and software design.
• Communicate and collaborate with cross‑functional partners.
• Work with third‑party vendor partners to evaluate data and products and integrate those that show promise into our data science practices and platforms.
• Develop testing & control procedures to ensure execution accuracy and effective post‑implementation monitoring.
• Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
• Unlock insights from non‑traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:

Technical skills

• Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
• Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
• Strong software development skills covering design, algorithms, optimization, testing, and source control
• Hands‑on experience with building self‑contained solutions with clear interfaces
• Demonstrable mathematical and algorithmic aptitude

Communication

• Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
• Ability to identify and convey the essential information in every communication
• Ability to understand the business intent behind every project and tell the story around it
• Willingness to propose and defend ideas

Collaboration

• Experience working in cross‑functional teams across a large, multi‑stakeholder organization
• Ability to work with a high degree of autonomy: can resolve or elevate issues appropriately; can fill in the gaps when requirements are incomplete
• Ability to work with teams of diverse individuals focused on several disparate projects simultaneously

Risk management mindset

• Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
  • Anticipate weaknesses in models, software, and systems
  • Use defensive practices to build robust products (e.g. testing, code review)
  • Minimize surface area for failure (develop around clear interfaces, use well‑understood tools, minimize external dependencies)
  • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
  • Understand the importance of monitoring production systems and setting up clear alert systems
• Appropriately balance the tradeoffs between the use of cutting‑edge enterprise systems vs. simple and familiar tooling

Benefits

• 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)