Senior Data Science Manager - ML & Strategy

Ellenco Estágios e Treinamentos; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Senior Manager, Data Scientist for Card DFS Integration in McLean, VA. This leadership role focuses on building and deploying machine learning models across billions of records, partnering with product, software, and data teams to deliver customer-centric data products.

The ideal candidate has advanced degrees in quantitative fields, extensive experience with Python/Scala/R, AWS, Spark, and H2O, and a proven track record in ML and relational databases.

Qualifications

• Bachelor's Degree in a quantitative field plus 7 years of data analytics experience.
• Master's Degree in a quantitative field or MBA with quantitative concentration plus 5 years of data analytics experience.
• PhD in a quantitative field plus 2 years of data analytics experience.
• At least 2 years of experience leveraging open source programming languages for large scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience utilizing relational databases.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data sets.
• Build machine learning models through all phases of development from design to deployment.
• Translate complex concepts into clear communication with stakeholders.

Skills

Python

Scala

R

Machine learning

Relational databases

Big data

Data analytics

Education

Bachelor's degree in a quantitative field

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

PhD in a quantitative field

Tools

AWS

H2O

Spark

Conda

Job description

Capital One is seeking a Senior Manager, Data Scientist for Card DFS Integration in McLean, VA. This leadership role focuses on building and deploying machine learning models across billions of records, partnering with product, software, and data teams to deliver customer-centric data products.

The ideal candidate has advanced degrees in quantitative fields, extensive experience with Python/Scala/R, AWS, Spark, and H2O, and a proven track record in ML and relational databases.