Data Science Analyst

OneMain Financial-posted 4 months ago
Full-time • Entry Level
Hybrid • Wilmington, DE
5,001-10,000 employees
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As an Associate 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.

  • 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 2025 or Spring 2026.
  • 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.
  • 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, plus 2 personal days, prorated based on start date)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (7 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)
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