Principal Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...
Principal Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description The Business Card & Payments Data Science team builds industry leading machine ...
... 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 ...
... 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 ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
Associate Data Scientist
Washington, DC · On-site
$66K - $67K/yr
... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...
Associate Data Scientist
Washington, DC · On-site
$66K - $67K/yr
... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...
Associate Data Scientist
Washington, DC · On-site
$66K - $67K/yr
... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...
Associate Data Scientist
Washington, DC · On-site
$66K - $67K/yr
... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
Data Scientist
Arlington, VA · On-site +1
Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions ...
Data Scientist
Arlington, VA · On-site +1
Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have hands-on experience developing data science solutions using open-source tools and cloud ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have hands-on experience developing data science solutions using open-source tools and cloud ...
... Data Science - Payments Organization 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 Science - Payments Organization 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 ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have hands-on experience developing data science solutions using open-source tools and cloud ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have hands-on experience developing data science solutions using open-source tools and cloud ...
Data Science Startup information
See Washington salary details
$25.2K - $43.5K
13% of jobs
$61K is the 25th percentile. Wages below this are outliers.
$43.5K - $61.7K
13% of jobs
$61.7K - $80K
7% of jobs
$80K - $98.2K
9% of jobs
The median wage is $114.5K / yr.
$98.2K - $116.5K
10% of jobs
$116.5K - $134.7K
11% of jobs
$134.7K - $153K
10% of jobs
$160.1K is the 75th percentile. Wages above this are outliers.
$153K - $171.2K
10% of jobs
$171.2K - $189.5K
9% of jobs
$189.5K - $207.8K
7% of jobs
$207.8K - $226K
3% of jobs
$25.2K
$121.2K
$226K
How much do data science startup jobs pay per year?
As of Jun 9, 2026, the average yearly pay for data science startup in Washington is $121,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,735.00 and $168,565.00 per year, depending on experience, location, and employer.
What is a Data Science Startup job?
A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.
What are the typical challenges faced when working at a data science startup?
Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.
What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?
To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.
What are the most commonly searched types of Data Science Startup jobs in Washington? The most popular types of Data Science Startup jobs in Washington are:
What are popular job titles related to Data Science Startup jobs in Washington? For Data Science Startup jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Washington look for? The top searched job categories for Data Science Startup jobs in Washington are:
- Research Informatics
- Remote Clinical Trial Data Transparency
- Afternoon Masters In Health Informatics
- Clinical Research Volunteer
- Japan Nursing
- Remote Health Outcomes Research
- Remote Medical Device Clinical Research
- Volunteer Public Health Research Assistant
- Entrylevel Clinical Informatics
- From Home Inova Research
What cities in Washington are hiring for Data Science Startup jobs? Cities in Washington with the most Data Science Startup job openings:
Capital One rating
7.7
Based on 134 frontline employees who took The Breakroom Quiz
72nd of 141 rated banks
Job description
Principal Data Scientist
Principal Associate, Data Scientist - Business Card and Payments
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 Business Card & Payments Data Science team builds industry leading machine learning models to power real-time credit underwriting decisions. This gives us the opportunity to make an impact on every Capital One business applicant by granting the right access to credit to grow their business. Our team builds full-spectrum credit models to support new and existing credit products and marketing strategies. We use new modeling techniques, develop new data sources, and engage in strong collaboration across multiple areas of our business to problem solve and develop innovative approaches that define our long term modeling and data strategy.
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.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
New York, NY: $176,500 - $201,400 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.
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).
Principal Associate, Data Scientist - Business Card and Payments
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 Business Card & Payments Data Science team builds industry leading machine learning models to power real-time credit underwriting decisions. This gives us the opportunity to make an impact on every Capital One business applicant by granting the right access to credit to grow their business. Our team builds full-spectrum credit models to support new and existing credit products and marketing strategies. We use new modeling techniques, develop new data sources, and engage in strong collaboration across multiple areas of our business to problem solve and develop innovative approaches that define our long term modeling and data strategy.
Role Description
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:
- 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.
- 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 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 3 years' experience in Python
- At least 3 years' experience with machine learning- end-to-end development through deployment experience is a plus.
- At least 3 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: $161,800 - $184,600 for Princ Associate, Data Science
New York, NY: $176,500 - $201,400 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.
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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