Lead Data Scientist, Card Intelligence

Capital One National Association

New York (NY)

On-site

USD 176,500 - 201,400

Full time

14 days+
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Benefits offered by this job

Comprehensive health benefits
Performance-based incentives
Inclusive workplace culture

Job summary

Capital One National Association is searching for a Principal Associate, Data Scientist to join their team in New York. This role involves utilizing advanced statistical techniques and leading a team to build innovative data solutions that enhance customer experiences and optimize business strategies.

You'll work with cutting-edge technologies and machine learning frameworks, contributing to impactful projects that affect millions of customers. A strong background in Python, SQL, and AWS is essential for this role, alongside the ability to translate complex data insights into actionable business objectives.

Qualifications

  • 5+ years of experience in data analytics with a Bachelor's Degree.
  • 3+ years with a Master's Degree in data analytics or related.
  • Hands-on experience developing data science solutions.

Responsibilities

  • Partner with teams to deliver a product customers love.
  • Build machine learning models from design to implementation.
  • Translate work complexity into business goals.

Skills

Statistical modeling
Machine learning
Python
SQL
AWS
Data analysis

Education

Bachelor's Degree in a quantitative field
Master's Degree in a quantitative field
PhD in a quantitative field

Tools

H2O
Spark

Job description

Capital One National Association is searching for a Principal Associate, Data Scientist to join their team in New York. This role involves utilizing advanced statistical techniques and leading a team to build innovative data solutions that enhance customer experiences and optimize business strategies.

You'll work with cutting-edge technologies and machine learning frameworks, contributing to impactful projects that affect millions of customers. A strong background in Python, SQL, and AWS is essential for this role, alongside the ability to translate complex data insights into actionable business objectives.

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