Manager, Data Scientist, Data Solutions and Modeling

Hobbsnews; Chicago, Northern (IL, KY); Hybrid; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Manager, Data Scientist to join the Data Solutions and Modeling team. You will partner with data scientists, software engineers, and product managers to deliver data products that power fraud/risk and merchant analytics across large-scale datasets.

You will build ML models through all phases, leverage Python, Spark, AWS, and open-source tools, and translate complex analyses into business impact while mentoring others and shaping the data science roadmap.

Qualifications

• Hires advanced degree holders with strong analytics skills and a quantitative background.
• Experience with data analytics and machine learning is required.
• Proficiency in relational databases and big data tools is essential.

Responsibilities

• Partner with a cross-functional team to deliver data products.
• Build ML models through all development phases from design to deployment.
• Translate complex analyses into measurable business impact.
• Lead and mentor teammates to raise data science capabilities.

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field or MBA with a quantitative concentration

PhD in a quantitative field

Tools

Python

Scala

R

SQL

Spark

AWS

H2O

LLMs

Vector databases

Conda

Job description

Manager, Data Scientist, Data Solutions and Modeling

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
• Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Preferred Qualifications:

• PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in model development
• At least 4 years' experience in Python, Scala, or R
• At least 4 years' experience with machine learning
• At least 4 years' experience with SQL
• Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases
• Experience designing and implementing AI workflows and autonomous AI agents

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science

Chicago, IL: $179,400 - $204,700 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.