Principal Associate, Data Scientist - Bank Operations Data Science

Capital One; McLean (VA); On-site; USD 161,800 - 184,600; Full time

Benefits offered by this job

Comprehensive healthcare benefits

Performance-based incentives

Competitive salary and bonuses

Job summary

Capital One in McLean, VA is hiring a Principal Associate, Data Scientist. You will help revolutionize bank operations by utilizing machine learning and advanced data analytics to improve customer service. This role requires collaboration with several teams to build and deploy state-of-the-art models in a fast-paced environment.

The ideal candidate should possess a strong technical background in data science, be innovative, and have hands-on experience with statistical modeling and development tools like Python and SQL. The salary range is $161,800 - $184,600.

Qualifications

• 5 years of experience performing data analytics with a Bachelor's degree.
• 3 years of experience with a Master's degree or an MBA in a quantitative field.
• Hands-on experience developing data science solutions.

Responsibilities

• Partner with cross-functional teams of data scientists and engineers.
• Build machine learning models through all phases of development.
• Streamline call processing and improve customer service.

Skills

Statistical modeling

Machine learning

Python

SQL

Data analytics

Cloud computing

Education

Bachelor's Degree in a quantitative field

Master’s Degree in a STEM field

PhD in a quantitative field

Tools

AWS

Snowflake

Job description

Principal Associate, Data Scientist - Bank Operations Data Science

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.

Team Description

The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.

Role Description

• 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, Snowflake 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
• This role works directly with our call center operations team to streamline call processing including summarization and automation to help our call center associates better serve our customers.

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.
• 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.
• Statistically‑minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

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 5 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 3 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)

Preferred Qualifications

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• At least 1 year of experience working with AWS
• At least 3 years’ experience in Python, Scala, or R
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL
• Proven track record of identifying and mitigating risks specifically linked to LLMs
• Proven ability to create and maintain technical documentation

Compensation and Benefits

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Princ Associate, 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.

Equal Employment Opportunity

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.

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