Manager, Data Science

OneMain Financial • Wilmington, DE

4d • Hybrid

About The Position

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.

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 escalate 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

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 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.

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)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees