Description
The Data Science Manager in our Partnerships team will be an integral part of the data science group supporting our Partnerships credit card operations.
This team is responsible for developing machine learning models that aid in decisions related to credit card approvals or rejections, assignments of lines and APRs, adjustments of credit limits, over-limit authorizations, and marketing throughout the customer lifecycle.
Our focus is on creating high-impact models that enhance business performance while also maintaining a healthy work-life balance.
We place a high value on the professional development of our associates, encouraging and requiring the adoption of cutting-edge technologies to innovate our model development processes.
If you are detail-oriented, passionate about learning and applying new machine learning techniques to drive business improvements, skilled in coding, an effective communicator, and an excellent team player, we invite you to join our team.
In this role, you will :
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is :
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities
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