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Data Science Startup Jobs in Washington (NOW HIRING)

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Take ownership of data science projects from initial problem definition and hypothesis building to ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

  • Retirement

  • PTO

... 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 ...

Redhorse Corporation

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 ...

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Data Science Startup information

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$25.2K

$121.2K

$226K

How much do data science startup jobs pay per year?

As of Aug 14, 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?

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 a data science startup, 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 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:

What cities in Washington are hiring for Data Science Startup jobs?

Cities in Washington with the most Data Science Startup job openings:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,197 per year, or $58.3 per hour.

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Capital One National Association

Mclean, VA • On-site

$161.80 - $184.60/hr

Other

Posted 4 days ago

Job description

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.

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.

Responsibilities
  • 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 (eg 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 a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a 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 programming 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. 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 Principal 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).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more on 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.

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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