Principal Data Scientist - Recommendation & Personalization Systems

Information Technology Senior Management Forum; McLean (VA); On-site; USD 162,000 - 201,000; Full time

Job summary

Capital One is seeking a Principal Data Scientist focused on recommendation and personalization systems, building high-scale ML models and personalized recommendation engines within Capital One's Applied AI team.

Responsibilities include collaborating with data scientists, engineers and product managers, using Python/Conda/AWS/H2O/Spark to derive insights from large data sets, and developing models from design to deployment. Onsite in McLean, VA, salary USD 161,800 - 201,400 per year.

Qualifications

• Bachelor's degree in Statistics, Economics, Operations Research, Analytics, Mathematics, CS, or related quantitative field plus 5 years of data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience.
• PhD in Statistics, Economics, Operations Research, Analytics, Mathematics, CS, or related quantitative field.

Responsibilities

• Collaborate with a cross functional team of data scientists, software engineers, and product managers to deliver a product that resonates with customers.
• Utilize a broad tech stack including Python, Conda, AWS, H2O, Spark, and related tools to uncover insights from large volumes of numeric and textual data.
• Develop machine learning models through all stages of development, from design and training to evaluation, validation, and deployment.
• Translate complex work into clear business goals through strong interpersonal communication.

Skills

Interpersonal communication

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field or MBA with quantitative concentration

PhD in a related quantitative field

Tools

Python

Conda

AWS

H2O

Spark

Job description

Principal Data Scientist focused on recommendation and personalization systems, building high-scale ML models and personalized recommendation engines within Capital One's Applied AI team.

Responsibilities

• Collaborate with a cross functional team of data scientists, software engineers, and product managers to deliver a product that resonates with customers
• Utilize a broad tech stack including Python, Conda, AWS, H2O, Spark, and related tools to uncover insights from large volumes of numeric and textual data
• Develop machine learning models through all stages of development, from design and training to evaluation, validation, and deployment
• Translate complex work into clear business goals through strong interpersonal communication

Requirements

• Bachelor's Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, plus 5 years of data analytics experience
• Master's Degree in a quantitative field or MBA with a quantitative concentration, plus 3 years of data analytics experience
• PhD in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field

Technologies

• Python
• Conda
• AWS
• H2O
• Spark

Details

• Location: McLean, VA (onsite)
• Salary: USD 161,800 - 201,400 per year
• Type: Full-time