Fingerhut
Data Scientist / Sr Data Scientist (Hybrid)
Fingerhut, Eden Prairie, Minnesota, United States, 55344
At Fingerhut, you will enter a culture that encourages team members to be bold and courageous. A culture that is zealous in pursuit of our mission to help our customers live a better financial life. In this culture, our team members find opportunities to stretch themselves, have a voice that is valued and is listened to have a sizeable impact on the business, work cross-functionally and collaboratively. We are continually innovating and improving, challenging ourselves to take risks, learn from mistakes, and celebrate success as a team. We also grow careers, giving employees on-the-job stretch assignments, lateral moves to expand knowledge bases, and promotional opportunities that help to accelerate development.
Position Summary:
We are looking for a Data Scientist to join our team at Fingerhut, responsible for predictive analytics and innovation. Fingerhut is a market-leading FinTech. As a Data Scientist for Credit, you will be at the forefront of delivering advanced analytics solutions and machine learning models across the Credit organization. You will focus on utilizing data from multiple sources to discover new customer insights, drive credit communications, tailor the customer experience, and ultimately drive revenue. You will be an expert for the Credit organization on predictive modeling, customer analytics, statistical methodologies, and testing and measurement.
This is not just another job; Fingerhut’s mission is to help Americans live a better financial life by helping them establish, build, or rebuild their credit. You’ll help the business hold itself accountable to deliver on our mission every day.
We empower each employee to put the customer first and our culture of ensuring all employees have an impact enables an entrepreneurial passion. No matter what stage of your career, you’ll make an impact on business results and interface with key leaders. As we continue to invest in machine learning, data-driven modeling, CRM tools and innovation, the future is very exciting. Join us in our mission!
This role is based out of our Eden Prairie, MN head office within our hybrid environment that has team members come into the office 3 days a week.
Duties and Responsibilities:
Develop and/or implement machine learning models for predictive purposes.Validate models for roll-out and analyze the performance of existing models.Assess the usefulness of new data sources, transformations, and modeling techniques.Perform high quality, data driven statistical inference.Mine large datasets in multiple databases to draw patterns and inferences to build models and arm leaders with information that will help make business decisions.Support end-users to design strategies based on newly developed machine learning models.Find new areas of opportunity for Credit to utilize predictive models or other analytic solutions.Other duties or responsibilities as assigned.Required Qualifications:
Bachelor’s degree in Data Science, Information Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Physics, Engineering, Econometrics, or other technology/quantitative/hard science program.4+ years of hands on experience in data science and/or analyticsExperience in one of the following: Python, R, Spark, Scala, SQL, or other analytical/mathematical/statistical programming environment.Hands on experience with information retrieval from high dimensional data, dimensionality reduction and feature extraction.Preferred Qualifications:
Basic knowledge of supervised and/or unsupervised model building techniques is a plus, especially one of these machine learning methodologies, such as: neural networks, extreme gradient boosting (XG Boost), support vector machines (SVM), gradient boosted models (GBM), and random forest.SAS experienceAble to work alone and on a team. Should feel comfortable tackling ambiguous problems with limited direction.Self-motivated and effective communicator.Commitment to creating reproducible and well-documented code.Financial, fintech, or bank industry experience.Education and/or experience in predictive modeling.
Physical Requirements:
This position requires prolonged periods of sitting, working with a computer and other work-related equipment up to 9 hours per day. Additionally, tasks may include occasional lifting of documents up to 10 pounds. When working in the office, home and/or other locations there will be occasional bending, twisting, reaching and moving. If you have a physical or medical limitation that may impact your ability to perform any of these tasks, please consult with Human Resources to explore potential accommodations.
About Fingerhut:
BLST Operating Company (Bluestem Brands) is a group of FinTech, and eCommerce Retail businesses (www.bluestem.com) led by our Fingerhut and Orchard Portfolios. This position falls under Fingerhut – a long-standing fintech company. Check out www.fingerhut.com to see who we are and what we do for our customers. Fingerhut fuses our extensive years of data modeling and real-time analytics through machine learning to provide flexible payment options for our valued customers looking to establish, build, or rebuild credit. Qualifying customers use their accounts for e-Commerce purchases at fingerhut.com for everything they and their family need across a broad selection of national brands.
#LI-FH24
Position Summary:
We are looking for a Data Scientist to join our team at Fingerhut, responsible for predictive analytics and innovation. Fingerhut is a market-leading FinTech. As a Data Scientist for Credit, you will be at the forefront of delivering advanced analytics solutions and machine learning models across the Credit organization. You will focus on utilizing data from multiple sources to discover new customer insights, drive credit communications, tailor the customer experience, and ultimately drive revenue. You will be an expert for the Credit organization on predictive modeling, customer analytics, statistical methodologies, and testing and measurement.
This is not just another job; Fingerhut’s mission is to help Americans live a better financial life by helping them establish, build, or rebuild their credit. You’ll help the business hold itself accountable to deliver on our mission every day.
We empower each employee to put the customer first and our culture of ensuring all employees have an impact enables an entrepreneurial passion. No matter what stage of your career, you’ll make an impact on business results and interface with key leaders. As we continue to invest in machine learning, data-driven modeling, CRM tools and innovation, the future is very exciting. Join us in our mission!
This role is based out of our Eden Prairie, MN head office within our hybrid environment that has team members come into the office 3 days a week.
Duties and Responsibilities:
Develop and/or implement machine learning models for predictive purposes.Validate models for roll-out and analyze the performance of existing models.Assess the usefulness of new data sources, transformations, and modeling techniques.Perform high quality, data driven statistical inference.Mine large datasets in multiple databases to draw patterns and inferences to build models and arm leaders with information that will help make business decisions.Support end-users to design strategies based on newly developed machine learning models.Find new areas of opportunity for Credit to utilize predictive models or other analytic solutions.Other duties or responsibilities as assigned.Required Qualifications:
Bachelor’s degree in Data Science, Information Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Physics, Engineering, Econometrics, or other technology/quantitative/hard science program.4+ years of hands on experience in data science and/or analyticsExperience in one of the following: Python, R, Spark, Scala, SQL, or other analytical/mathematical/statistical programming environment.Hands on experience with information retrieval from high dimensional data, dimensionality reduction and feature extraction.Preferred Qualifications:
Basic knowledge of supervised and/or unsupervised model building techniques is a plus, especially one of these machine learning methodologies, such as: neural networks, extreme gradient boosting (XG Boost), support vector machines (SVM), gradient boosted models (GBM), and random forest.SAS experienceAble to work alone and on a team. Should feel comfortable tackling ambiguous problems with limited direction.Self-motivated and effective communicator.Commitment to creating reproducible and well-documented code.Financial, fintech, or bank industry experience.Education and/or experience in predictive modeling.
Physical Requirements:
This position requires prolonged periods of sitting, working with a computer and other work-related equipment up to 9 hours per day. Additionally, tasks may include occasional lifting of documents up to 10 pounds. When working in the office, home and/or other locations there will be occasional bending, twisting, reaching and moving. If you have a physical or medical limitation that may impact your ability to perform any of these tasks, please consult with Human Resources to explore potential accommodations.
About Fingerhut:
BLST Operating Company (Bluestem Brands) is a group of FinTech, and eCommerce Retail businesses (www.bluestem.com) led by our Fingerhut and Orchard Portfolios. This position falls under Fingerhut – a long-standing fintech company. Check out www.fingerhut.com to see who we are and what we do for our customers. Fingerhut fuses our extensive years of data modeling and real-time analytics through machine learning to provide flexible payment options for our valued customers looking to establish, build, or rebuild credit. Qualifying customers use their accounts for e-Commerce purchases at fingerhut.com for everything they and their family need across a broad selection of national brands.
#LI-FH24