Senior Data Scientist: ML, Big Data & Impact

Capital One Group

McLean (VA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Capital One is seeking a data scientist to partner with cross-functional teams to deliver data-driven products for customers. You will work with Python, Scala, or R to build ML models from design to deployment, and translate complex results into actionable business outcomes in a fast-paced financial services environment.

Strong communication skills, curiosity about new technologies, and the ability to operate with urgency are essential.

Qualifications

  • Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
  • At least 2 years’ experience with Python, Scala, or R.
  • At least 2 years’ experience with machine learning.
  • Experience with SQL and data retrieval from multiple sources.

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Build and iterate ML models through all phases: design, training, evaluation, validation, and implementation.
  • Translate complex analyses into tangible business goals and actionable insights.
  • Research and apply emerging technologies to financial services data.
  • Collaborate across levels to drive strategic decisions with data-driven evidence.

Skills

Python
Scala
R
Machine learning

Education

Bachelor's Degree in a quantitative field
Master's Degree in a quantitative field or MBA with quantitative concentration
Master’s Degree in STEM or PhD in STEM

Job description

Capital One is seeking a data scientist to partner with cross-functional teams to deliver data-driven products for customers. You will work with Python, Scala, or R to build ML models from design to deployment, and translate complex results into actionable business outcomes in a fast-paced financial services environment.

Strong communication skills, curiosity about new technologies, and the ability to operate with urgency are essential.

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