Data Scientist for Personalized Customer Experiences

3 weeks ago


San Francisco, California, United States Capital One Full time
About Us

Data is at the core of everything we do. As a leading financial institution, we've disrupted the industry with innovative data-driven solutions. Our passion for data has propelled us to become a Fortune 200 company and a leader in data-driven decision-making.

Job Summary

We're seeking an experienced Data Scientist to join our Consumer Identity Machine Learning team. As a key member, you'll work on developing real-time models that use vast amounts of customer data to anticipate their needs and deliver personalized experiences across our digital products.

Key Responsibilities
  • Explore billions of clickstream events to discover patterns in customer behavior and model key outcomes.
  • Develop machine learning models through all phases of development, from design to training, evaluation, and validation.
  • Partner with engineering teams to improve operationalization in scalable and resilient production systems serving 50+ million customers.
Requirements
  • Bachelor's Degree plus 3 years of experience in data analytics or Master's Degree plus 1 year of experience in data analytics.
  • At least 1 year of experience in open-source programming languages for large-scale data analysis.
  • At least 1 year of experience with machine learning and relational databases.
Preferred Qualifications
  • Master's Degree in a STEM field plus 3 years of experience in data analytics.
  • At least 2 years' experience in Python, PyTorch, Scala, or R.
  • At least 2 years' experience with SQL and natural language processing.
Compensation

The estimated annual salary for this role is $147,000 - $167,500 in San Francisco, California, and $138,500 - $158,100 in New York City (Hybrid On-Site). This role is eligible for performance-based incentive compensation.

About Capital One

We offer a comprehensive set of benefits that support your total well-being. Learn more about our inclusive culture, competitive salaries, and opportunities for growth and development.



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