Summary
The Data Science team delivers best in class actionable business insights through cutting-edge predictive models and data science techniques. The Senior Data Scientist is responsible for generating data-driven insight using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial, and researching state-of-art advanced analytics techniques to continuously improve the Data Science teams competence within the analytics industry.
Minimum Qualifications
- Bachelor's degree in statistics, mathematics, engineering, data science, economics, computer science, or another quantitative field of study.
- 4+ years of experience in the software field.
Preferred Qualifications
- Master's degree in statistics, mathematics, engineering, data science, economics, or computer science.
- Experience in developing statistical models/machine learning models and conducting data mining to solve business problems.
- Experience in extracting and processing large files/data sets.
- Experience interpreting model results and translating insights into business recommendations.
Knowledge, Skills And Abilities
○ Data Analytics ○ Data Mining ○ Data Science ○ Machine Learning ○ Pivot Tables ○ PowerPoint Presentations
○ Predictive Modeling ○ Python ○ Spark SQL ○ Statistical Concepts ○ Structured Query Language (SQL)
○ Financial Services ○ Natural Language Processing (NLP) ○ Cloud Experience (AZURE/AWS) ○ Time Series Forecasting
Roles & Responsibilities
The Data Science team delivers best in class actionable business insights through cutting-edge predictive models and data science techniques. The Senior Data Scientist is responsible for generating data-driven insight using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial, and researching state-of-art advanced analytics techniques to continuously improve the Data Science teams competence within the analytics industry.
