1226 IT & Software Developer jobs in the US

Capital One jobs

Data Science Manager - Credit Review

$179,400 - 225,100
Capital One
East Spring Creek Parkway 1221, Plano
$179,400 - 225,100
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Currently pursuing or holding one of the following degrees with an expected completion on or before the start date: - A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with 6 years of data analytics experience - A Masters Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of data analytics experience - A PhD in a quantitative field plus 1 year of data analytics experience - At least 1 year of experience using open source programming languages for large data analysis - At least 1 year of machine learning experience - At least 1 year of experience with relational databases

Technologies

Machine Learning
Matrix

Responsibilities

- Utilize a diverse range of technologies like Python, Conda, AWS, H2O, Spark, among others, to uncover insights from extensive data sets - Create statistical and machine learning models to assess and improve existing operational models - Employ effective communication skills to translate complex analyses into clear business objectives - Collaborate with cross-functional teams, including data scientists, credit risk experts, and product managers, to produce products that resonate with customers

Description


At Capital One, we are driven by data and aim to redefine the credit industry through personalized offers powered by advanced statistical modeling and relational database technologies. Our Credit Review Models, Data, and Innovative Solutions team is dedicated to enhancing model accuracy and delivering optimal decision-making outcomes. We prioritize future-oriented investments in skill development, innovative tools, and strong partnerships. We thrive in a collaborative environment that fosters individual insights, encourages responsibility, and promotes continuous learning, making a tangible impact on our company and our customers financial health.
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