Senior Data Science Lead — ML, Cloud & Impact

ITSMF

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

2 days ago
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Benefits offered by this job

Health benefits
Bonus eligibility

Job summary

Capital One is seeking a Senior Manager, Data Scientist for US Card. You will lead a cross-functional team of data scientists, software engineers, and product managers to deliver ML-powered products, using Python, AWS, Spark, and other technologies.

You will build models from design to implementation and translate insights into business outcomes. The role requires advanced education in quantitative fields and substantial experience in data analytics and ML, with collaboration across teams and a

Qualifications

  • Bachelor's degree + 7 years analytics OR Master's + 5 years analytics OR PhD + 2 years analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases

Responsibilities

  • Partner with cross-functional teams to deliver a product customers love
  • Leverage a broad stack to reveal insights from large data sets
  • Build machine learning models through design, training, evaluation, and implementation
  • Translate complex work into tangible business goals

Skills

Cross-functional leadership
Open-source languages
Machine learning
Data analytics
Business communication

Education

Bachelor's degree in quantitative field
Master's degree in quantitative field or MBA with quantitative concentration
PhD in quantitative field

Tools

Python
Conda
AWS
H2O
Spark

Job description

Capital One is seeking a Senior Manager, Data Scientist for US Card. You will lead a cross-functional team of data scientists, software engineers, and product managers to deliver ML-powered products, using Python, AWS, Spark, and other technologies.

You will build models from design to implementation and translate insights into business outcomes. The role requires advanced education in quantitative fields and substantial experience in data analytics and ML, with collaboration across teams and a

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Health benefits
Performance incentives