Senior Data Scientist, Personalization & Recommendations

Capital One National Association; Northern, New York (KY, NY); Hybrid; USD 135,000 - 170,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist to advance personalized recommendations at scale. You will work with a cross-functional team to design and productionize ML models that operate on billions of customer interactions.

The role emphasizes open-source languages (Python/Scala/R), cloud platforms (AWS), and tools like Spark and H2O, with a focus on translating complex analytics into business impact and customer value.

Qualifications

• Bachelor's degree in statistics, economics, operations research, analytics, mathematics, computer science, or related field with 2 years of data analytics experience
• Master's degree in a quantitative field or MBA with a quantitative concentration
• 2+ years of experience with Python, Scala, or R and 2+ years of experience with SQL and ML

Responsibilities

• Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal insights from large data sets
• Build machine learning models through all stages from design to training, evaluation, validation, and deployment
• Translate the complexity of work into tangible business goals for stakeholders

Skills

Python

Scala

R

SQL

Education

Bachelor's degree in a quantitative field

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

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Associate, Data Scientist to advance personalized recommendations at scale. You will work with a cross-functional team to design and productionize ML models that operate on billions of customer interactions.

The role emphasizes open-source languages (Python/Scala/R), cloud platforms (AWS), and tools like Spark and H2O, with a focus on translating complex analytics into business impact and customer value.