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Full Time Data Science Jobs in Washington (NOW HIRING)

Eligible for Employee Referral Program The minimum and maximum full-time annual salaries for this ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Eligible for Employee Referral Program The minimum and maximum full-time annual salaries for this ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI ... UNAVAILABLEEmployment Type: FULL_TIME

Data Science Engineer, Lead

Mclean, VA · On-site

$99K - $225K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

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Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Washington? The most popular types of Data Science jobs in Washington are:
What cities in Washington are hiring for Full Time Data Science jobs? Cities in Washington with the most Full Time Data Science job openings:
Infographic showing various Full Time Data Science job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.
Manager, Data Science

Manager, Data Science

Capital One

Mclean, VA • On-site

Full-time

Posted 15 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Center 1 (19052), United States of America, McLean, Virginia
Manager, Data Science
Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA).
Exercising discretion at a more senior level, 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.
Translate the complexity of your work into tangible business goals.
Minimum Requirements:
  • Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field and 6 years of experience in performing data analytics.
  • In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 6 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields or an MBA or foreign equivalent degree in a quantitative concentration and 4 years of experience as stated, or a PhD or foreign equivalent degree in the aforementioned fields and 1 year of experience as stated.

Also requires 1 year of experience in:
  • leveraging open-source programming languages for large-scale data analysis;
  • working with machine learning; and
  • utilizing relational databases.

Must pass company assessment.
Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office.
Experience may be, but need not be, acquired concurrently.
Eligible for Employee Referral Program
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
  • $170,872.00 - $267,900.00 for Manager, 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.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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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