Data Scientist Jobs

3,804 jobs found — updated daily

Manager, Data Scientist - Recommendation & Personalization Systems

Capital One•San Jose, CA
Match Resume

About The Position

Data is at the center of everything we do. As a startup, Capital One disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. This innovation and passion for data has led Capital One to become a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist, you will be part of a team leading the next wave of disruption using the latest in computing and machine learning technologies across billions of customer records to help people save money, time, and agony in their financial lives. This role is within an elite Applied AI team in AI Foundations, working at the intersection of deep research and real-world impact. The team is pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging high-scale ML models. The core mission involves architecting and deploying cutting-edge personalized recommendation engines, powered by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. The research agenda focuses on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems.

Requirements

  • Currently has, or is 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 OR 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 OR 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

Nice To Haves

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • 3+ years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines
  • Deep expertise (4+ years) in developing and optimizing state-of-the-art Deep Learning models, specifically Transformer-based architectures, using PyTorch and distributed training with multi-GPU optimization
  • Extensive experience (4+ years) with high-performance, distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark

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

Benefits

  • Health benefits
  • Financial benefits

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Manager

Number of Employees

5,001-10,000 employees

Job Search Resources

Career Resources

Data Scientist Career GuideSkills, salary, and career path
Data Scientist Resume ExamplesSamples and writing tips
Data Scientist Cover Letter ExamplesTemplates and best practices

Build a Resume for Data Scientist

The resume builder that gets results.

  • Get clear feedback so you look as qualified as you are
  • Align your resume with the job to get further in the process, faster
  • Take the guesswork out of resume writing
Explore the resume builder

Explore Related Job Searches

AnalystRnSoftware EngineerAdminProduct ManagerProject Manager

Tools

Templates & Examples

Resources

Comparisons

Company

Over 4 Million Users
Free AI tools and resources to help you land your next job, faster
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service