Senior Data Scientist, Marketing Analytics for Big Impact

Capital One

New York (NY)

On-site

USD 148,000 - 169,000

Full time

14 days+
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Job summary

Capital One is seeking a Senior Associate Data Scientist for the Business Cards Marketing Data Science team in New York. You will partner with cross-functional teams to develop models and deploy them to optimize marketing campaigns, leveraging Python, AWS, Spark, and other tools to derive actionable insights from hundreds of millions of records.

The ideal candidate has a strong foundation in statistics and machine learning, with experience in Python/Scala/R, SQL, and cloud platforms, and is able

Qualifications

  • Bachelor’s Degree in a quantitative field plus 2 years of data analytics experience.
  • Master’s Degree or MBA with a quantitative concentration (or STEM MBA) preferred.

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies—Python, Conda, AWS, H2O, Spark, and more—to extract insights from large datasets.
  • Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
  • Translate complex analyses into tangible business goals for marketing campaigns.

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

Tools

AWS
SQL

Job description

Capital One is seeking a Senior Associate Data Scientist for the Business Cards Marketing Data Science team in New York. You will partner with cross-functional teams to develop models and deploy them to optimize marketing campaigns, leveraging Python, AWS, Spark, and other tools to derive actionable insights from hundreds of millions of records.

The ideal candidate has a strong foundation in statistics and machine learning, with experience in Python/Scala/R, SQL, and cloud platforms, and is able

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