Senior Data Scientist — Hybrid, ML & Big Data

Capital One; Cambridge (MA); Hybrid; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a data scientist to turn complex insights into business impact across a hybrid structure in Cambridge, MA. You will work with cross‑functional teams to build ML models using Python, Spark and cloud tools, guiding them from design through deployment.

You will apply statistics, time series, clustering and NLP methods, and translate findings into measurable business outcomes for card products and customer experiences.

Qualifications

• Bachelor's or Master's in a quantitative field plus relevant analytics experience.
• Strong Python/Scala/R and ML model development skills.
• Experience with SQL, cloud platforms, and data pipelines.

Responsibilities

• Collaborate with data scientists, software engineers and product managers to deliver a data product.
• Build and productize ML models from design to deployment across platforms.
• Translate complex analyses into tangible business outcomes.

Skills

Python

Scala

R

Machine learning

SQL

AWS

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 data scientist to turn complex insights into business impact across a hybrid structure in Cambridge, MA. You will work with cross‑functional teams to build ML models using Python, Spark and cloud tools, guiding them from design through deployment.

You will apply statistics, time series, clustering and NLP methods, and translate findings into measurable business outcomes for card products and customer experiences.