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Job Summary
Data Science team delivers the best in class actionable business insights through cutting-edge predictive models and data science techniques. The Data Scientist is responsible for generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial.
Job Description
Essential Job Functions
Analytics – under supervision and guidance, completes the following: 1) extracts and samples data, conducts data integrity checks and applicable data pre-processing such as treatment of missing values and outliers, 2) conducts exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem, 3) reveals hidden data patterns by data mining using unsupervised learning techniques such as clustering analysis and factor analysis, 4) conducts feature engineering to create/derive model predictors with strong predictive power, 5) trains/tunes classification/regression models by applying supervised learning techniques such as generalized linear models assuming applicable underlying distributions such as logit and gamma, tree-based models such as decision trees, random forest, boosted trees, etc., and neural net models, and 6) conducts proper model test/validation, diagnoses and fixes model issues (e.g., over-fitting) when applicable. Sizes the impact of using the models in production as part of the current strategy. Presents results and business case to manager. Provides support for implementation and monitoring of solutions that are implemented.
Collaboration – under supervision and guidance, translates analytical results into useful recommendations for review with manager. Demonstrates strong verbal and written communication skills when working with internal partners and when presenting results to various audiences. Develops foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business. Collaborates with other data scientists in the company to share best practices and data science innovations.
Data Science innovation – with direction from leader, researches industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency. Conducts use case testing for new tools/techniques/platforms/data and provides user input/feedback.
Model Risk Management – develops foundational knowledge on common model risks and related regulatory requirements; applies proper 1st line of defense controls during model development process to minimize model risk; creates comprehensive model governance documentation and archives model data, scripts, and results; collaborates with model risk management partners to complete model validation/auditing; completes remediation as required by model governance process.
Reports to: Manager or higher
Working Conditions/ Physical Requirements: Normal office environment
Direct Reports: None
Minimum Qualifications
Degree Required: Bachelor’s Degree
Area of Study: Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field
Years of Work Experience Required: Fresher or less than 1 year experience.
Type / focus of work experience required: Must have done a course in Data science and Machine learning.
Must
Knowledge, Skills and Abilities
Data Science
Machine Learning
Structured Query Language (SQL)
Python
Strong Communication skills
Good To Have
Natural Language Processing (NLP)
Cloud Experience (AZURE/AWS)
Education Requirements
Certifications:
Skills
Work Experience
About Bread Financial
At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be a part of our award-winning culture. We’ve been consistently recognized as a best place to work in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.
Bread Financial is a tech-forward financial services company providing simple, personalized payment, lending and saving solutions. The company creates opportunities for its customers and partners through digitally enabled choices that offer ease, empowerment, financial flexibility and exceptional customer experiences. Driven by a digital-first approach, data insights and white-label technology, Bread Financial delivers growth for its partners through a comprehensive product suite, including private label and co-brand credit cards, installment lending, and buy now, pay later (BNPL). Bread Financial also offers direct-to-consumer solutions that give customers more access, choice and freedom through its branded Bread Cashback American Express® Credit Card and Bread Savings products.
Headquartered in Columbus, Ohio, Bread Financial is powered by its 7,500+ global associates and is committed to sustainable business practices.
Job Family
Data and Analytics
Job Type
Regular
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