Manager, Data Scientist, Financial Services
Capital One
Plano, TX1+ yrs6h agovia LinkedIn
This job at a glance
- Who can apply
- 1 year+ of experience · MBA / PGDM
- Must know
- Product managementSparkDeep learning
- Nice to have
- Machine learningPythonAWSData analysis
- Work
- On-site in Plano
- Pay
- Not stated by the employer.
- Skill demand
- Product management9%Spark1%Machine learning1%of 100 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
Data is at the center of everything we do. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Key Responsibilities
- 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.
Requirements & Tech Stack
- Python, Conda, AWS, H2O, Spark
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Experience utilizing relational databases.
- Experience leveraging open-source programming languages for large scale data analysis.
- Experience working with machine learning.
Qualifications
Basic Qualifications
- Currently have, or are in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics.
- At least 1 year of experience leveraging open source programming languages for large scale data analysis.
- At least 1 year of experience working with machine learning.
- At least 1 year of experience utilizing relational databases.
Preferred Qualifications
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 4 years’ experience in Python, Scala, or R for large scale data analysis.
- At least 4 years’ experience with machine learning.
- At least 4 years’ experience with SQL.