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Data Science Jobs in Washington (NOW HIRING)

Capital One

Manager, Data Science

Mclean, VA · On-site

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 ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

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 ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

Blend360

Data Science Manager

Columbia, MD

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Power3 Solutions

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Power3 Solutions

SWE3 - Data Science

Laurel, MD

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Power3 Solutions

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Blend360

Data Science Manager

Columbia, MD

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

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Data Science information

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$42.5K

$139K

$222.6K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 are popular job titles related to Data Science jobs in Washington? For Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Washington look for? The top searched job categories for Data Science jobs in Washington are:
What cities in Washington are hiring for Data Science jobs? Cities in Washington with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.
Manager, Data Science

Manager, Data Science

Capital One

Mclean, VA • On-site

Full-time

Posted 6 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 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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