Principal Data Scientist, SBB Marketing & Deposit Strategy

ITSMF; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One in McLean, VA seeks a Principal Associate, Data Scientist for the SBB Marketing & Deposit Strategy. You will partner with a cross-functional team to build models across billions of records, using Python, Conda, AWS, H2O and Spark.

The role emphasizes end-to-end ML development, from design through training, evaluation and deployment, with a focus on customer engagement and retention. Candidates should hold advanced quantitative degrees and have 3–5 years of analytics experience.

Qualifications

• Bachelor's degree in a 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.
• PhD in a quantitative field.

Responsibilities

• Partner with cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals
• Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the overall customer experience

Skills

Statistical modelling

Machine learning

Python

Dask

Spark

SQL

AWS

Deep learning

Education

Bachelor's in quantitative field

Master's in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

H2O

Spark

Conda

AWS

Job description

Capital One in McLean, VA seeks a Principal Associate, Data Scientist for the SBB Marketing & Deposit Strategy. You will partner with a cross-functional team to build models across billions of records, using Python, Conda, AWS, H2O and Spark.

The role emphasizes end-to-end ML development, from design through training, evaluation and deployment, with a focus on customer engagement and retention. Candidates should hold advanced quantitative degrees and have 3–5 years of analytics experience.