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Senior Director, Data Science Marketing - Retail Bank

Employer
Capital One
Location
McLean, Virginia
Closing date
Feb 5, 2022

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Job Details

1750 Tysons (12023), United States of America, McLean, Virginia

Senior 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.


Basic Qualifications:
  • 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


Preferred Qualifications:
  • 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.

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).

Company

We Don’t Only Think Big Things—At Capital One, We Do Big Things.

You’re dedicated to your career. You deserve professional satisfaction and personal fulfillment. You belong at Capital One.

Here, every day brings another chance to do impactful work that matters: helping millions of customers confidently manage their money, building stronger communities and delivering truly disruptive tech. You’ll give your all alongside some of the brightest, most resilient people in the industry—and in return, you’ll enjoy the growth opportunities, support, flexibility and benefits you need for an exhilarating life both on and off the job.

Be inspired. Be yourself. That’s #LifeAtCapitalOne.

Creating a Culture of Belonging

At Capital One, we value diversity, inclusion and belonging at our core. We’re building a place of belonging—where everyone can feel seen, heard, valued and free to be their authentic selves. We want to be a place of opportunity—where associates from all backgrounds innovate for our customers and communities, and build meaningful, fulfilling careers.

We endeavor to be a welcoming and inspiring place for all. We seek and embrace diversity. And we’re committed to having a diverse and inclusive workforce, focused on increasing the representation of underrepresented groups, strengthening our culture of inclusion and belonging and harnessing our scale to invest in our communities.

We’re focused on three core principles to advance diversity, inclusion and belonging across Capital One:

Create a culture of belonging where everyone can thrive and innovate

Attract and develop talent from all backgrounds and experiences

Ensure our systems and programs promote fairness and equity

Get a career with more at Capital One.  Discover it for yourself today.

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, sexual orientation, gender identity, protected veteran status, disability or other protected status.

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