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Associate Director Data Science Jobs in Virginia

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

Carmax

Senior Manager, Data Science

Richmond, VA

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

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Associate Director Data Science information

What does an associate director data science do?

An Associate Director of Data Science leads data science teams and projects within an organization, overseeing the design and implementation of advanced analytics, machine learning models, and data-driven strategies. They collaborate closely with business stakeholders to understand organizational goals and translate them into actionable data solutions. Additionally, they mentor team members, set technical standards, and ensure the effective use of data to drive business impact. Their role often bridges the gap between technical execution and strategic vision.

How does an associate director data science typically collaborate with cross-functional teams within an organization?

As an Associate Director of Data Science, you will regularly work with teams such as engineering, product management, and business strategy to align data initiatives with broader organizational goals. This role often involves translating technical findings into actionable insights for non-technical stakeholders, guiding project priorities, and ensuring data solutions are scalable and effective. Strong communication and leadership skills are essential as you’ll frequently lead meetings, foster interdepartmental relationships, and drive consensus on data-driven strategies.

What are the key skills and qualifications needed to thrive as an associate director data science, and why are they important?

To thrive as an Associate Director Data Science, you need advanced expertise in statistical modeling, data analytics, and machine learning, typically supported by a graduate degree in a quantitative field. Proficiency with programming languages such as Python or R, data visualization tools, and experience with cloud platforms and big data technologies are essential, along with relevant certifications like Certified Analytics Professional (CAP). Strong leadership, strategic thinking, and communication skills set top performers apart by enabling effective collaboration and influence across teams and stakeholders. These skills are crucial for driving data-driven decision-making, delivering impactful insights, and leading high-performing data science teams.

What is the difference between Associate Director Data Science vs Data Scientist?

AspectAssociate Director Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some management experienceBachelor's or Master's in Data Science, Statistics, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, tech, finance sectors for leadership rolesCommon across industries for technical data analysis roles

The Associate Director Data Science typically oversees teams and manages projects, requiring leadership skills, while Data Scientists focus on technical data analysis and modeling. Both roles require strong analytical skills and relevant education, but the Associate Director position involves more strategic and managerial responsibilities.

What cities in Virginia are hiring for Associate Director Data Science jobs?

Cities in Virginia with the most Associate Director Data Science job openings:

Infographic showing various Associate Director Data Science job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Associate, Data Science

Mclean, VA

Capital One
Funds, Trusts and Financial Programs • 10K+ employees
Learn more about Capital Oneexternal

Full-time

Re-posted 7 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

Job description

Senior Associate, 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 Credit Risk Management, Loss Forecasting and Allowance team uses the latest technologies and innovative models and data to forecast and optimize future losses associated with Capital One's credit card portfolio. We partner with model development and software engineering teams to build predictive models and automate insight generation.

As a Data Scientist, you will focus on loss forecasting modernization and data transformation. The qualified candidate will support card loss forecasting: resilience, outlook, allowance and CCAR.

Role Description

In this role, you will:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models

  • Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within data

  • Build statistical/machine learning models to challenge "champion models" that are deployed in production today

  • Contribute to the model governance of the next generation of machine learning models

  • Flex your interpersonal skills to present how model risks could impact the business to executives

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 have experience with a wide array of methods.

  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

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 2 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

Preferred Qualifications:

  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 2 years' experience in Python, Scala, or R

  • At least 2 years' experience with machine learning

  • At least 2 years' experience with SQL

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

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: $135,600 - $154,800 for Sr Assoc, Data Science


Richmond, VA: $123,300 - $140,700 for Sr Assoc, 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 theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. 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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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