Director, Data Science Marketing - Retail Bank

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 200 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 and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

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.
• 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 .
• 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.
• 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.
• 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 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

Preferred Qualifications:

• 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.