Data Scientist, Alternative Data Strategy — Senior Associate

Capital One; New York (NY); On-site; USD 148,000 - 169,000; Full time

Job summary

Capital One in New York, NY seeks a Senior Associate, Data Scientist specializing in Alternative Data Strategy to evaluate non-traditional datasets and build features for credit decisioning.

You'll work with Python, AWS, Spark, and open-source tools to develop models from design through deployment, collaborating across data science, software engineering, and product teams to deliver data-driven solutions that scale across billions of records.

Qualifications

• Bachelor's or Master's degree in a quantitative field plus 2 years of data analytics experience.
• Experience with Python/Scala/R and cloud computing platforms; knowledge of AWS preferred.
• Demonstrated ability to build and evaluate machine learning models and to translate results into business impact.

Responsibilities

• Partner with cross-functional teams to deliver data products customers love.
• Leverage Python, AWS, Spark, and related tools to derive insights from large structured and unstructured data.
• Build machine learning models through design, training, evaluation, and deployment stages.
• Translate complex work into tangible business goals and communicate results clearly.

Skills

Statistical modeling

Data analytics

Big data concepts

Education

Bachelor's Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field

Master's Degree in quantitative field or MBA with quantitative concentration

Tools

Python

Scala

R

AWS

Spark

H2O

SQL

Job description

Capital One in New York, NY seeks a Senior Associate, Data Scientist specializing in Alternative Data Strategy to evaluate non-traditional datasets and build features for credit decisioning.

You'll work with Python, AWS, Spark, and open-source tools to develop models from design through deployment, collaborating across data science, software engineering, and product teams to deliver data-driven solutions that scale across billions of records.