Capital One Director Data Scientist - Apollo/Card 

United States, Virginia, Arlington 

560718742

Director, Data Scientist - Apollo/Card Data

In this role, you will:

• Lead a team of data scientists and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love.

• Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion.

• Lean on your deep technical background in graph-based machine learning, deep learning, software engineering and algorithm development to organize, grow and manage the ML/AI capabilities for the product.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

• Technical Innovator.You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the-art techniques.

• Customer-back. Product mindset.You are deeply curious about customer needs and bring a product mindset to drive business results, integrating ML/AI design, engineering and execution. You identify high-leverage efforts and the necessary trade-offs to shape a roadmap that balances transformative innovation with time-to-value and pragmatism.

• Empathetic People Leader.You establish a culture of inclusiveness, cooperation and candor. You’re passionate about talent development, provide frequent actionable feedback to team members, and promote innovation

• Strategic Thinker and Communicator.

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date :

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics

  • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics

• At least 4 years of experience leveraging open source programming languages for large scale data analysis

• At least 4 years of experience working with machine learning

• At least 4 years of experience utilizing 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

McLean, VA: $263,900 - $301,200 for Dir, Data Science New York, NY: $287,800 - $328,500 for Dir, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.