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Full Time Science Jobs in Washington (NOW HIRING)

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... Full-time employees are eligible for: * Medical, dental, and vision insurance * Health Savings ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

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 ...

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How much do full time science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time science in Washington is $54,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $58,900.00 per year, depending on experience, location, and employer.

What is a full-time science job?

A full-time science job typically refers to a professional position in the scientific field where an employee works the standard number of weekly hours, usually around 35-40. These jobs can be found in research, industry, education, healthcare, or government sectors, and may include roles such as laboratory technician, research scientist, science educator, or environmental analyst. Full-time science professionals are usually responsible for conducting experiments, analyzing data, writing reports, and collaborating with teams to advance scientific knowledge or solve practical problems. These positions often require at least a bachelor's degree in a science-related field, and sometimes an advanced degree, depending on the specialization.

What is the difference between Full Time Science vs Part Time Science?

AspectFull Time SciencePart Time Science
Work HoursTypically 35-40 hours per weekFewer hours, often less than 20 hours per week
CredentialsUsually requires a bachelor's or higher in science fieldsSame credentials as full-time, but often for shorter commitments
Work EnvironmentLaboratories, research facilities, or officesSimilar environments, but with flexible scheduling
Employment TypePermanent or long-term employmentTemporary, project-based, or freelance roles

Full Time Science roles involve consistent, long-term employment with regular hours, ideal for those seeking stability. Part Time Science positions offer flexibility and shorter commitments, suitable for students or those balancing other responsibilities. Both roles require similar educational credentials and often share work environments, but differ mainly in hours and employment structure.

What types of projects and collaborations can I expect as a full-time scientist in a research-focused organization?

As a full-time scientist, you'll typically engage in a variety of research projects, either independently or as part of a multidisciplinary team. Collaboration is common, involving regular meetings with colleagues from different scientific backgrounds, and sometimes with external partners such as universities or industry sponsors. You'll likely be responsible for designing experiments, analyzing data, and presenting findings, all while contributing to the overall goals of your department. This collaborative environment fosters knowledge sharing and provides opportunities for professional growth through exposure to diverse perspectives and technologies.

What are the key skills and qualifications needed to thrive as a full-time scientist, and why are they important?

To thrive as a full-time scientist, you need a solid background in scientific research, data analysis, and a relevant degree (such as biology, chemistry, or physics). Familiarity with laboratory equipment, statistical software (like R or SPSS), and often advanced certifications or training in specialized techniques are typical requirements. Critical thinking, problem-solving, and effective communication skills help scientists excel in collaborative and innovative environments. These competencies are essential for conducting rigorous research, generating reliable results, and contributing to scientific advancements.
What are the most commonly searched types of Science jobs in Washington? The most popular types of Science jobs in Washington are:
What are popular job titles related to Full Time Science jobs in Washington? For Full Time Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Full Time Science jobs in Washington look for? The top searched job categories for Full Time Science jobs in Washington are:
What cities in Washington are hiring for Full Time Science jobs? Cities in Washington with the most Full Time Science job openings:
Full Time Science jobs near you
Infographic showing various Full Time Science job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $54,807 per year, or $26.3 per hour.

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Capital One

Mclean, VA • On-site

$59K - $60K/yr

Full-time

Re-posted 23 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

Principal Associate, Data Scientist - Retail Bank Valuations 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 Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement, segmentation, and customer value modeling. We do data and model pipelining, machine learning, and well-managed model operations using Python and ML libraries in our tech stacks. If you enjoy the challenge of creating best-in-class solutions that provide long term value in a rapidly changing space, this is the role for you.

Role Description

In this role you will be building the next generation of customer valuations models for the Retail Bank that improve marketing efficiency and drive account growth via intelligent targeting, measurement, and segmentation.

In this role, you will:

  • Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions

  • Translate business goals into data science solutions and communicate with senior stakeholders

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

  • Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency

The Ideal Candidate is:

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.

  • Statistically-minded. You are experienced in various machine learning algorithms and predictive solutions

  • 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

  • A storyteller. You are effective in communicating technical details to a variety of audiences

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, including XGBoost

  • At least 3 years' experience with SQL

  • At least 1 year's experience in open source programing languages for large scale data analysis

  • Experience with next-generation model architectures such as embeddings, sequence models

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











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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