Senior Manager, Data Science - Credit Review 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 ...
Senior Manager, Data Science - Credit Review 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 ...
Overview: AI, Data Science & Analytics Consultant Virginia, USA (Remote / Hybrid) Client ... Strong communication and stakeholder management skills * Ability to work in fast-paced project ...
Overview: AI, Data Science & Analytics Consultant Virginia, USA (Remote / Hybrid) Client ... Strong communication and stakeholder management skills * Ability to work in fast-paced project ...
We're not a traditional Data Science team: we build creative ML solutions across multiple domains ... Investigate new technology to advance data management, model development and deployment and drive ...
We're not a traditional Data Science team: we build creative ML solutions across multiple domains ... Investigate new technology to advance data management, model development and deployment and drive ...
Senior Manager, Data Science - Credit Review 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 ...
Senior Manager, Data Science - Credit Review 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 ...
Manager, Data Science - AI for Data 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 ...
Manager, Data Science - AI for Data 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 ...
Manager, Data Science - Model Risk Office 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 ...
Manager, Data Science - Model Risk Office 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 ...
Senior Manager, Data Science - Credit Review 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 ...
Senior Manager, Data Science - Credit Review 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 ...
We're not a traditional Data Science team: we build creative ML solutions across multiple domains ... Investigate new technology to advance data management, model development and deployment and drive ...
We're not a traditional Data Science team: we build creative ML solutions across multiple domains ... Investigate new technology to advance data management, model development and deployment and drive ...
Manager, Data Science - Model Risk Office 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 ...
Manager, Data Science - Model Risk Office 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 ...
Data Scientist
Mclean, VA · On-site
The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with ...
Quick apply
Data Scientist
Mclean, VA · On-site
The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
To properly value these vehicles, our data scientists must develop algorithms that best reflect ... Build and execute a management system to ensure that the model is delivering intended values (alert ...
Manager, Data Science - Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ...
Manager, Data Science - Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ...
Manager, Data Science - Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ...
Manager, Data Science - Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ...
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KPMG is currently seeking a Manager, Economic Services - Data Science to join our Economic & Statistical Consulting practice. Responsibilities: * Create econometric analysis, machine learning and ...
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Senior Manager, Data Science - Cash Flow Underwriting Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - Cash Flow Underwriting Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Data Science Manager information
See Virginia salary details
$30.7K - $43.4K
7% of jobs
$43.4K - $56.2K
8% of jobs
$64.7K is the 25th percentile. Wages below this are outliers.
$56.2K - $68.9K
14% of jobs
$68.9K - $81.6K
18% of jobs
The median wage is $83.8K / yr.
$81.6K - $94.3K
15% of jobs
$94.3K - $107K
7% of jobs
$116.5K is the 75th percentile. Wages above this are outliers.
$107K - $119.7K
7% of jobs
$119.7K - $132.4K
6% of jobs
$132.4K - $145.1K
6% of jobs
$145.1K - $157.8K
4% of jobs
$157.8K - $170.5K
6% of jobs
$30.7K
$96.3K
$170.5K
How much do data science manager jobs pay per year?
As of Jun 17, 2026, the average yearly pay for data science manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.
What is the hottest job of the 21st century?
Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.
What are the primary responsibilities of a Data Science Manager on a day-to-day basis?
As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.
What is a Data Science Manager job?
A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.
What is the 80 20 rule in data science?
The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.
What is the salary of a data science manager?
The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.
What is the role of a data science manager?
A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.
What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?
To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science Manager jobs in Virginia? For Data Science Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Virginia look for? The top searched job categories for Data Science Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Science Manager jobs? Cities in Virginia with the most Data Science Manager job openings:
Full-time
Posted 11 days ago
Capital One rating
7.7
Based on 135 frontline employees who took The Breakroom Quiz
73rd of 141 rated banks
Job description
Senior Manager, Data Science - Credit Review
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
In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners.
We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation.
Role Description
In this role, you will:
The Ideal Candidate is:
Basic Qualifications:
Preferred Qualifications:
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.
Charlotte, NC: $209,000 - $238,500 for Sr Mgr, Data Science
McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science
Plano, TX: $209,000 - $238,500 for Sr Mgr, Data Science
Richmond, VA: $209,000 - $238,500 for Sr Mgr, Data Science
Riverwoods, IL: $209,000 - $238,500 for Sr Mgr, Data Science
Wilmington, DE: $209,000 - $238,500 for Sr 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.
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).
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
In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners.
We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation.
Role Description
In this role, you will:
- Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data
- Build statistical and machine learning models to challenge the models in production
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love
The Ideal Candidate is:
- 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.
- 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.
- 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.
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 7 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 5 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 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
Preferred Qualifications:
- PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 5 years' experience in Python, Scala, or R for large scale data analysis
- At least 5 years' experience with machine learning
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.
Charlotte, NC: $209,000 - $238,500 for Sr Mgr, Data Science
McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science
Plano, TX: $209,000 - $238,500 for Sr Mgr, Data Science
Richmond, VA: $209,000 - $238,500 for Sr Mgr, Data Science
Riverwoods, IL: $209,000 - $238,500 for Sr Mgr, Data Science
Wilmington, DE: $209,000 - $238,500 for Sr 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.
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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