Director, Data Science: Cloud & Productivity Engineering (CPE)
Category Data Science
Primary Address Richmond, Virginia
OverviewWest Creek 4 (12074), United States of America, Richmond, VirginiaDirector, Data Science: Cloud & Productivity Engineering (CPE)
At Capital One, we think big and do big things. We are a Top-10 bank by deposits—a high-tech company, scientific laboratory, and a nationally recognized brand. Our products reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future.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 to develop Tech for Tech.
Capital One leverages full stack technology solutions including streaming big data, state of the art machine learning, micro-service architecture, distributed computation engines, and intuitive visualizations in the cloud. We work with several cutting-edge technologies and actively develop and contribute to the open source community. You will work alongside highly technical peers, with deep domain expertise, and partner with product and business teams to deliver game changing solutions for our customers. The Cloud and Productivity Engineering (CPE) Data Science Director will lead a team of Data Scientists and Machine Learning Engineers within Tech Operations to create and advance our AIOPs journey by developing ML and monitoring solutions for Capital One Tech. The CPE team focuses closely on analytical solutions, operational modeling, solving operational technology challenges, and predicting/preventing technology disruptions. This team harnesses the power of understanding “big data” and ML to improve user experience and drive the business forward.
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver products that 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
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analytics
At least 4 years of experience in open source programming languages for large scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
At least 1 year of experience working with AWS
At least 3 year of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 5 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Location is New York City- $260,592 and $307,440 for Dir, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
How We Hire
We take finding great coworkers pretty seriously.
Step 1 Apply
It only takes a few minutes to complete our application and assessment.
Step 2 Screen and Schedule
If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.
Step 3 Interview(s)
Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.
Step 4 Decision
The team will discuss — if it’s a good fit for us and you, we’ll make it official!
How to Pick the Perfect Career Opportunity
Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.
Your wellbeing is our priority
Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.
Healthy Body, Healthy Mind
You have options and we have the tools to help you decide which health plans best fit your needs.
Save Money, Make Money
Secure your present, plan for your future and reduce expenses along the way.
Time, Family and Advice
Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.
Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.
Want more jobs like this?
Set a Job Alert
Explore Your Options
Build the next generation of digital tools for our customers—we’re always innovating solutions.Explore 614 Jobs
Leverage technology in new and powerful ways to pioneer change, all in the pursuit of changing banking for good.Explore 664 Jobs
Design and create future-forward products on a team of innovators helping to change banking for good.Explore 82 Jobs
Write code and crunch numbers, all in pursuit of developing models that solve problems—and make us a better bank.Explore 26 Jobs
Use your tech skills to stop cyber threats and help make banking safe and secure for our customers.Explore 32 Jobs
Help us tell our story by creating memorable digital experiences for our customers through your creativity and ingenuity.Explore 17 Jobs
Take your place on the front lines, representing our brand, problem solving and building relationships with the customersExplore 160 Jobs
Your outgoing personality and tech-savvy know-how can make all the difference for the customers that visit our cafés.Explore 25 Jobs
Use cutting-edge software, audit methodologies, and data science to help us make great business decisions.Explore 17 Jobs
Use your bold perspective and specialized skills to drive projects and implement financial strategies—challenging the way banking is done.Explore 47 Jobs
Deliver expert advice, superior products and best-in-class service to our commercial partners.Explore 18 Jobs
Your entrepreneurial mindset and expertise leads to one-of-a-kind service for every small business owner you assist.Explore 16 Jobs
Use your expertise and perspective to bring insights to the table so we can grow in the right ways.Explore 69 Jobs
Be on the frontlines of attracting, engaging and retaining top talent that’s helping us change banking for good.Explore 14 Jobs
Help us communicate how we’re changing banking for good, and ensure our brand is one of the most recognized in the industry.Explore 12 Jobs
Analyze, develop and test the strategies that pull insights from our data and move us forward.Explore 30 Jobs
Use your strategic and analytical skills to help solve major challenges and make both our business and banking, better.Explore 26 Jobs
Offer simple answers to complex questions, while helping both our team and customers thrive.Explore 11 Jobs
Move our innovations closer to reality by mitigating legal risk with your expertise and ability to advise on strategic business decisions.Explore 10 Jobs