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Senior Data Scientist

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Bread Financial
Part Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Senior Data Scientist at Bread Financial

Every career journey is personal. That's why we empower you with the tools and support to create your own success story.

Be challenged. Be heard. Be valued. Be you ... be here.

Job Summary

The Data Science role at Bread Financial provides top-tier business insights through advanced predictive models and data science techniques. The Senior Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial Intelligence (AI). The Data Science team, through this role, supports Marketing by developing predictive and prescriptive models that optimize campaign performance, enable targeted and personalized marketing, and provide actionable insights for acquisition, engagement, and retention strategies.

They leverage advanced analytics, AI/ML tools, and secure data-sharing environments to enhance decision‑making and drive measurable business outcomes.

Essential Job Functions
  • Lead the design, build, deployment, and periodic maintenance of AI solutions. (30%)
  • Build strong relationships with internal business partners to drive the delivery of enterprise solutions. (20%)
  • Establish and execute the framework for engaging enterprise partners to plan new AI solutions. (20%)
  • Assist with documentation, compliance, model governance, and maintenance of AI solutions. (15%)
  • Research advanced modeling and AI techniques to improve predictive modeling and maintain business acumen in relevant industries. (15%)
Minimum Qualifications
  • Bachelor’s Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics, or other quantitative fields.
  • 5+ years experience in building sophisticated models using machine learning, segmentation, time series, and other advanced analytics methodologies.
Preferred Qualifications
  • Master’s Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics, or other quantitative fields.
  • 7+ years experience in model building with machine learning, segmentation, time series, and other advanced analytics methodologies in relevant industries.
Skills
  • Data Manipulation
  • Machine Learning
  • Market Segmentation
  • Python (Programming Language)
  • R Statistics
  • Statistical Analysis
  • Statistics
  • Time Series Analysis
  • Cloud Environment
  • Agentic AI
  • GenAI
  • Presentation to Small and Large Groups
  • Financial Analysis
  • Choice-Based Conjoint Design and survey techniques

Reports To
:
Manager and above

Direct Reports
: 0

Work Environment
  • Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location.
Travel
  • Ability to travel up to 5% quarterly
Physical And Mental Requirements
  • Communicate/Hearing
  • Communicate/Talking
  • Stationary Position/Seated
  • Typing/Writing
  • Focus and complete tasks in situations that have a speed or productivity metric
  • Maintain focus in high‑pressure or fast‑paced work environment
Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Salary Range
: $ - $

Full Salary Range For Position

  • California: $ - $
  • Colorado: $ - $
  • New York: $ - $
  • Washington: $ - $
  • Maryland: $ - $
  • Washington DC: $ - $
  • Illinois: $ - $
  • New Jersey: $ - $
  • Vermont: $ - $
  • Ohio: $ - $

Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long‑term disability) to eligible associates (regular full‑time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26. New associate elected coverage begins on date of hire (with the exception of disability coverage which has a 6‑month waiting period).

Six weeks of 100% paid parental leave for eligible parents is available after a 180‑day waiting period. Hired associates can immediately enroll in…

Position Requirements
10+ Years work experience
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