Principal Associate, Data Scientist - Card Partnerships

Capital One; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you'll leverage advanced machine learning technologies to analyze billions of customer records. Be part of a dynamic team focused on developing innovative risk models and infrastructure tools that enhance customer experiences. This role offers a unique opportunity to apply your technical skills in a collaborative environment, driving impactful solutions that improve financial lives. If you're passionate about data and ethical decision-making, this position is perfect for you!

Benefits

Performance incentives

Comprehensive benefits

Diversity and inclusion commitment

Sponsorship for qualified applicants

Qualifications

• Degree in a quantitative field or in-progress degree.
• Experience in data analytics and statistical modeling.

Responsibilities

• Partner with teams to deliver customer-centric products.
• Utilize Python and AWS to analyze large datasets.
• Develop machine learning models across all phases.

Skills

Python

Machine Learning

Statistical Modeling

Big Data Handling

SQL

AWS

H2O

Spark

Education

Degree in a quantitative field

Advanced STEM degree

Tools

Conda

AWS

H2O

Spark

Job description

Principal Associate, Data Scientist - Card Partnerships

Overview

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personalizing every credit card offer using statistical modeling and relational databases since 1988. Today, we are a Fortune 200 company leading in data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team driving innovation at a new scale, utilizing advanced computing and machine learning technologies across billions of customer records to create impactful solutions that improve financial lives.

Team Description

The Risk R&D team within the Card DS Partnerships focuses on developing next-generation risk models to identify emerging risks swiftly and accurately across all card products. We also develop infrastructure tools to streamline model development, fostering a culture of innovation and professional growth. We value detail-oriented, learning-driven, and collaborative professionals passionate about applying machine learning to business challenges.

Role Responsibilities

1. Partner with cross-functional teams to deliver customer-centric products.
2. Utilize technologies like Python, Conda, AWS, H2O, Spark to analyze large datasets.
3. Develop machine learning models through all development phases.
4. Communicate complex technical insights effectively to stakeholders.

Ideal Candidate Profile

• Customer-focused with a passion for ethical decision-making.
• Innovative with a keen interest in emerging technologies.
• Creative problem-solver and inquisitive thinker.
• Proactive leader with a talent for mentoring and stakeholder engagement.
• Technically proficient in open-source tools and cloud platforms.
• Experienced in statistical modeling, validation, and interpretation.
• Skilled in handling big data from diverse sources.

Minimum Qualifications

• Degree in a quantitative field plus relevant experience, or
• In-progress degree with an expected completion date before the start date.

Preferred Qualifications

• Advanced STEM degree with experience in data analytics.
• Experience with AWS, Python, Scala, R, machine learning, and SQL.

Additional Information

Salary ranges vary by location, with specific figures provided for McLean, VA, and New York, NY. The role includes performance incentives, comprehensive benefits, and is committed to diversity and inclusion. We consider sponsorship for qualified applicants and are an equal opportunity employer.