Senior Director, Data Science Marketing - Retail Bank
Category Data Science
Experience Sr. Director
Primary Address McLean, Virginia
Overview1750 Tysons (12023), United States of America, McLean, VirginiaSenior Director, Data Science Marketing - Retail Bank
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making.
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 technologies and machine learning methods that operate across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The mission of this role is to drive the continual improvement of Capital One Retail Bank’s Marketing Data Science division. As part of the leading machine learning group, defining the next generation of banking, you will drive innovation that puts the most relevant ads in the market with the right audiences and continually optimizes budgets to make marketing more efficient. In this role, you’ll be central to determining our vision and strategy for continuously learning model applications in marketing that allow the Bank to reach the widest audiences possible with reasons to buy our top-rated products..
The Marketing Data Science team has a relentless focus on the craft of data science spanning statistics, machine learning, and distributed computing domains. Our relentless innovation is aimed towards continually improving our ability to find relevant messages for audiences, while tuning our budget to maximize efficiency. You will be working with cross functional teams including marketers, engineers, and business analysts to identify the biggest opportunities and deliver models to make the most of them. This is core to growing the Bank and delivering value to customers and future customers alike through our products.
In this role, you will:
Build and deliver a comprehensive data science roadmap as it relates to marketing decisions ranging from our media budget to what ad to show to which person
Partner with senior leaders and partner teams in problem framing and conception of ideas to develop consensus and execute on the machine learning agenda
Lead a data science team and build machine learning models through all phases of development, from design, testing, data gathering, training, evaluation, validation, governance, and implementation
Partner with a cross-functional team of product managers, software engineers, marketers, and business analysts to launch machine learning solutions into production
Actively identify and manage model risks in line with model risk management policies through effective challenge of your team
Identify, evaluate, and deploy new algorithms, data strategies, test plans, and implementation capabilities to drive continuous innovation
Lead, recruit, and grow a team of data scientists to achieve their professional goals
The Ideal Candidate is:
A Leader. You challenge conventional thinking and bring a depth and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. You own your agenda and advocate for it and your team in the face of setbacks.
Achiever. You are at ease in a fast paced environment balancing long range media optimization with the short term campaign needs and are driven for action to get things done .
Experienced. You’ve built machine learning models over TB scale data, validated them, back tested them and know what it takes to launch them in a real-time production environment.
Team Oriented. You excel at partnering with cross functional teams to champion the field of data science to achieve collective goals.
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.
Tenacious. You make the most of the data available, while seeking new ways to proxy customer interest. You overcome setbacks and remain focused on delivering results.
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 5 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 Computer Science (Machine Learning, Statistics, Math or equivalent) plus 7 years of experience in data analytics
At least 7 years of experience with Marketing Sciences in ad-targeting, propensity scoring, valuations, bid optimization and media measurement modeling
At least 3 year of experience working with AWS
At least 3 year of experience managing people
At least 5 years of experience in Python, Spark, Scala, or R for large scale data analysis
At least 10 years of experience applying machine learning to solve complex problems for large scale applications
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
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