About the Role

As a Senior Data Science Manager at Capital One, you’ll be leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

Your Responsibilities:

• Overseeing the development of software to operationalize, clean, and investigate large, messy data sets of structured and unstructured data

• Networking with various teams to explore internal and external data sources and APIs to help uncover new trends and improve analysis

• Designing and contributing to highly scalable data pipelines, machine learning models, tools, and products to enable the analyst community to fully leverage the power of AWS

• Managing and developing talent to drive a highly performant and engaged team

• Working with various teams to analyze large swaths of data in order to optimize various business programs

• Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow

The Ideal Candidate will be:

• Curious: You ask why, you explore, you’re not afraid to blurt out your disruptive idea. You know how the latest tech works, yet you are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.

• Crafty: You know how to get things done. You can navigate a large organization, motivate people, and influence your peers.

• Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.

• Inspiring: You have a passion for developing people and take great pride in your management system. You know how to deliver through others while paving the way for their growth.

• Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.

Basic Qualifications:

• At least 7 years of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)

• At least 7 years of experience with version control systems like Git and GitHub.

• At least 7 years of experience with relational databases and programming in SQL

• At least 4 years in lead positions (managing people/owning products/architecting and driving an agenda)

• At least 2 years of experience with machine learning workflows

Preferred Qualifications:

• Bachelor’s Degree or Master’s Degree or PhD in a quantitative field

• Experience working with AWS (EC2, S3, Lambda, RDS, etc.)

• Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)

• Experience with CICD tools

• 2+ years experience with machine learning workflows

• 7+ years experience in Python

• 7+ years’ experience with SQL

• 4+ years in lead positions (managing people/owning products/architecting and driving an agenda)

Working at Capital One

You’ll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self. 

• Take ownership of your own potential: Whether you’re looking to upskill, pivot into new business areas, or master your craft, you’ll have access to tools and mentorship to reach your potential and define your career trajectory.

• Find your rhythm:We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.

• Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You’ll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary range for this position is $202,400 to $231,000. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.