Lead Data Scientist, Personalization & Recommendations

Capital One; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Capital One is seeking a Data Scientist in New York, NY to partner with teams in delivering products that delight customers. The ideal candidate will have a strong foundation in machine learning with at least 4 years of experience, especially in deep learning and MLOps practices. Proficiency in Python and data processing frameworks like H2O and Spark is essential. The role includes building and maintaining scalable ML systems and requires a Bachelor’s degree or higher in a quantitative field. Comprehensive benefits are offered.

Qualifications

• At least 1 year of experience leveraging open source programming languages for large scale data analysis.
• 3+ years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems.
• Deep expertise in developing and optimizing state-of-the-art Deep Learning models.

Responsibilities

• Partner with a cross-functional team to deliver a product customers love.
• Leverage a broad stack of technologies to reveal insights from data.
• Build machine learning models through all phases of development.

Skills

Python

Machine Learning

Data Analysis

AWS

H2O

Spark

PyTorch

DASK

PySpark

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

PhD in a quantitative field

Tools

Conda

Kubeflow

CI/CD pipelines

Job description

Capital One is seeking a Data Scientist in New York, NY to partner with teams in delivering products that delight customers. The ideal candidate will have a strong foundation in machine learning with at least 4 years of experience, especially in deep learning and MLOps practices. Proficiency in Python and data processing frameworks like H2O and Spark is essential. The role includes building and maintaining scalable ML systems and requires a Bachelor’s degree or higher in a quantitative field. Comprehensive benefits are offered.