Principal Associate, Data Scientist

Capital One; New York (NY); On-site; USD 177,000 - 201,000; Full time

Benefits offered by this job

Health benefits

Incentive compensation (cash bonuses &

Job summary

Capital One is seeking a Principal Associate Data Scientist to join the Generative AI Systems team within Card Data Science. The role involves partnering with cross-functional teams to build ML models using Python, AWS, Spark and H2O on large-scale data to drive data informed decisions and improve customer outcomes.

The selected candidate will contribute to Generative AI Systems initiatives, building and deploying AI-driven solutions that support analytics and customer-facing applications,

Qualifications

• Bachelor's degree in a quantitative field with relevant analytics experience
• Master's degree (quantitative) or MBA with quantitative concentration with analytics experience
• PhD in a quantitative field or related area required or strongly preferred

Responsibilities

• Collaborate with cross-functional teams to deliver customer-focused products
• Utilize Python, Conda, AWS, H2O, Spark to uncover insights from large-scale data
• Develop ML models across design, training, evaluation and deployment
• Translate technical work into clear business goals and metrics

Skills

Machine learning

Data analysis

Communication

Education

Bachelor's degree (quantitative)

Master's degree (quantitative) or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

SQL

Job description

Capital One is seeking a Principal Associate Data Scientist to join the Generative AI Systems team within Card Data Science. The role involves partnering with cross-functional teams to build ML models using Python, AWS, Spark and H2O on large-scale data to drive data informed decisions and improve customer outcomes.

Location

New York, NY (onsite)

Salary

USD 176,500 - 201,400 per year

Responsibilities

• Collaborate with a cross functional team of data scientists, software engineers, and product managers to deliver a product that resonates with customers
• Utilize a broad tech stack including Python, Conda, AWS, H2O, Spark, and more to uncover insights from large-scale numeric and textual data
• Develop machine learning models across all stages of development, from design and training to evaluation, validation and deployment
• Translate complex technical work into clear business goals through effective communication

Role Overview

The selected candidate will contribute to the Generative AI Systems initiative within Card Data Science, focusing on building and deploying AI-driven solutions that support both internal analytics and customer-facing applications.

Technologies

• Python
• Conda
• AWS
• H2O
• Spark

Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with five years of data analytics experience
• Master's degree in a quantitative field (or MBA with a quantitative concentration) with three years of data analytics experience
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)

BASIC QUALIFICATIONS

• Pursuing or holding one of the following with the expectation of degree completion by start date:
  • Bachelor's in a quantitative field plus five years of data analytics experience
  • Master's in a quantitative field or MBA with quantitative concentration plus three years of data analytics experience
  • PhD in a quantitative field

Preferred Qualifications

• Master's degree in a STEM field plus three years of data analytics experience, or PhD in STEM field
• At least 1 year of experience with AWS
• At least three years of experience with Python, Scala, or R
• At least three years of experience with machine learning
• At least three years of experience with SQL

Benefits

• Health, financial and other benefits that support total well-being
• Performance-based incentive compensation, including cash bonuses and long-term incentives

Team Description

The Generative AI Systems (Genesis) team within Card Data Science develops state-of-the-art generative AI solutions for dialogue, text summarization, reading comprehension, speech recognition, image and document processing, as well as time-series sequencing modeling. The team partners with product, technology and design groups to deliver both internal applications that improve efficiency and customer-facing applications that enhance the customer experience.

The Ideal Candidate Is

• Customer first: driven by making the right decision for customers and aligning work with business impact
• Innovative: keeps current with emerging technologies and state-of-the-art methods
• Creative: comfortable tackling undefined problems and sharing new ideas
• Technical: proficient with open-source languages and hands-on with data science solutions on cloud platforms
• Statistically minded: experienced with modeling, validation, backtesting, and interpreting metrics such as confusion matrices and ROC curves; familiarity with clustering, classification, sentiment analysis, time series, and deep learning
• A data guru: able to retrieve, combine, and analyze data from diverse sources and structures