Capital One, a trailblazer in data-driven financial services, is seeking a skilled Data Science Manager to join their Consumer Identity Machine Learning team. This role offers an unparalleled opportunity to leverage cutting-edge technologies and vast datasets to create intelligent, personalized customer experiences across the company’s digital platforms.
The financial giant, which began its journey by revolutionizing the credit card industry with personalized offers in 1988, has grown into a Fortune 200 company. Today, it’s at the forefront of applying machine learning and big data to enhance customers’ financial lives.
The Consumer Identity ML team’s mission
The Consumer Identity ML team operates within Capital One’s AI foundation organization. Their work focuses on delivering real-time, personalized experiences through the company’s digital products, including websites, mobile apps, emails, and chatbots. The team collaborates closely with product and engineering departments to build essential data and modeling platforms that enable deep customer understanding.
As part of this team, you’ll work on:
- Analyzing billions of clickstream events to uncover customer behavior patterns
- Developing real-time models that anticipate customer needs and provide timely solutions
- Creating models that ensure data accuracy while preventing fraud and other malicious activities
Key responsibilities and qualifications
In this role, you’ll engage with all phases of the data science lifecycle, from model design and training to evaluation and operationalization. You’ll partner with various business and product teams to conduct experiments that improve customer experiences and business outcomes in areas like marketing, servicing, and fraud prevention.
Capital One is looking for candidates with:
- Innovative thinking A passion for researching and evaluating emerging technologies
- Creativity The ability to tackle big, undefined problems and push for solutions
- Technical expertise Hands-on experience with open-source languages and tools for large-scale data analysis
- Statistical knowledge Experience with clustering, classification, sentiment analysis, time series, and deep learning
- Data management skills The ability to retrieve, combine, and analyze data from various sources
Education and experience requirements
Candidates must have:
- A degree in a quantitative field (Bachelor’s + 6 years experience, Master’s + 4 years, or PhD + 1 year) with relevant data analytics experience
- At least 1 year of experience with open-source programming languages for large-scale data analysis
- At least 1 year of experience with machine learning and relational databases
Preferred qualifications include a PhD in a STEM field, experience with AWS, and proficiency in Python, Scala, or R for large-scale data analysis.
What Capital One offers
Capital One provides a comprehensive benefits package that supports employees’ total well-being. This includes health, financial, and other benefits designed to care for both individuals and their families. The company is committed to fostering an inclusive workplace and offers competitive compensation packages.
The salary range for this role varies by location, with the following annual ranges:
- McLean, VA: $197,300 – $225,100
- New York, NY: $215,200 – $245,600
- San Francisco, CA: $215,200 – $245,600
- San Jose, CA: $215,200 – $245,600
This role is also eligible for performance-based incentive compensation. Capital One is an equal opportunity employer and considers sponsoring qualified applicants for employment authorization.
