Data Scientist Visa Sponsorship Jobs in Washington DC
Washington DC's data scientist job market is shaped by federal agencies, defense contractors, and policy-focused think tanks. Major employers include Booz Allen Hamilton, Deloitte, Leidos, and the federal government itself. Many roles require security clearances, which affects sponsorship availability, but private-sector and consulting demand for visa-sponsored data scientists remains strong.
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Get Access To All JobsINTRODUCTION
Yext (NYSE: YEXT) is the leading brand visibility platform, built for a world where discovery and engagement happen everywhere — across AI search, traditional search, social media, websites, and direct communications. Powered by over 2 billion trusted data points and a suite of integrated products, Yext provides brands the clarity, control, and confidence to perform across digital channels. From real-time insights to AI-driven recommendations and execution at scale, Yext turns a brand's digital presence into a competitive advantage, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a 'Best Place to Work' globally by industry leaders such as Built In, Fortune, and Great Place To Work®!
ROLE AND RESPONSIBILITIES
As an Associate Data Scientist you will be responsible for analyzing data, interpreting results, training models, and expanding Yext's algorithmic product features. You'll work with frontier LLMs, SQL, and Python to collect data, filter and transform data, train and fit models, and evaluate AI agents and their performance. Yext clients cover a tremendous breadth of industries. We are seeking data scientists excited to discover opportunities in data across a wide variety of business domains. You will work collaboratively with cross-team partners in software engineering, product management, and strategy.
- Data analysis, filtration and quality assurance. Development of high quality Data Products to support internal and external stakeholders alike
- Create of context windows, tooling, instructions and evaluation frameworks for agentic tools, and evaluating their performance
- Work closely with other Engineering and Product colleagues to advance the development of complex and sophisticated algorithmic product features.
- Communicate and clearly present results in verbally, in writing and graphically
- Propose ideas and solutions to problems observed during the course of other assignments
BASIC QUALIFICATIONS
- Programming experience in Python
- Data Analysis experience in SQL
- Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with working in a Console environment and using version control systems like Github
- Autodidactic, Self directed – You are able to dive into a new unfamiliar problem domain and start learning about it – You are comfortable with uncertainty and project evolution
- Effective communicator, a good writer, and know effective means of visually displaying quantitative information
- Effective user of team collaboration tools in the Atlassian stack, specifically Jira and Confluence
- Multitasking and prioritization skills to respond in a timely manner to colleagues
PREFERRED QUALIFICATIONS
- Quantitative Degree (e.g. Math, Physics, Computer Science, Operations Research, Engineering, Life Sciences, etc.)
- Experience with AWS, Linux and Mac environments
- Past experience working in an analytical capacity (e.g. any kind of analytical role) or building data products
- Experience in statistical approaches in Python, Excel, or R.
- Experiences with the machine learning, data processing and visualization packages (e.g. Pandas, Numpy, scikit-learn, Matplotlib, D3.js, etc.)
Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers.
It is Yext's policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.
Security Alert
All legitimate Yext communications come from @yext.com email addresses. Messages from other domains (for example, @yext.team) are not authorized and are likely fraudulent. If you receive a message that seems suspicious, do not share personal information, click on links, or provide payment. Instead, please report the communication to security@yext.com.
INTRODUCTION
Yext (NYSE: YEXT) is the leading brand visibility platform, built for a world where discovery and engagement happen everywhere — across AI search, traditional search, social media, websites, and direct communications. Powered by over 2 billion trusted data points and a suite of integrated products, Yext provides brands the clarity, control, and confidence to perform across digital channels. From real-time insights to AI-driven recommendations and execution at scale, Yext turns a brand's digital presence into a competitive advantage, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a 'Best Place to Work' globally by industry leaders such as Built In, Fortune, and Great Place To Work®!
ROLE AND RESPONSIBILITIES
As an Associate Data Scientist you will be responsible for analyzing data, interpreting results, training models, and expanding Yext's algorithmic product features. You'll work with frontier LLMs, SQL, and Python to collect data, filter and transform data, train and fit models, and evaluate AI agents and their performance. Yext clients cover a tremendous breadth of industries. We are seeking data scientists excited to discover opportunities in data across a wide variety of business domains. You will work collaboratively with cross-team partners in software engineering, product management, and strategy.
- Data analysis, filtration and quality assurance. Development of high quality Data Products to support internal and external stakeholders alike
- Create of context windows, tooling, instructions and evaluation frameworks for agentic tools, and evaluating their performance
- Work closely with other Engineering and Product colleagues to advance the development of complex and sophisticated algorithmic product features.
- Communicate and clearly present results in verbally, in writing and graphically
- Propose ideas and solutions to problems observed during the course of other assignments
BASIC QUALIFICATIONS
- Programming experience in Python
- Data Analysis experience in SQL
- Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with working in a Console environment and using version control systems like Github
- Autodidactic, Self directed – You are able to dive into a new unfamiliar problem domain and start learning about it – You are comfortable with uncertainty and project evolution
- Effective communicator, a good writer, and know effective means of visually displaying quantitative information
- Effective user of team collaboration tools in the Atlassian stack, specifically Jira and Confluence
- Multitasking and prioritization skills to respond in a timely manner to colleagues
PREFERRED QUALIFICATIONS
- Quantitative Degree (e.g. Math, Physics, Computer Science, Operations Research, Engineering, Life Sciences, etc.)
- Experience with AWS, Linux and Mac environments
- Past experience working in an analytical capacity (e.g. any kind of analytical role) or building data products
- Experience in statistical approaches in Python, Excel, or R.
- Experiences with the machine learning, data processing and visualization packages (e.g. Pandas, Numpy, scikit-learn, Matplotlib, D3.js, etc.)
Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers.
It is Yext's policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.
Security Alert
All legitimate Yext communications come from @yext.com email addresses. Messages from other domains (for example, @yext.team) are not authorized and are likely fraudulent. If you receive a message that seems suspicious, do not share personal information, click on links, or provide payment. Instead, please report the communication to security@yext.com.
Data Scientist Job Roles in Washington DC
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Search Data Scientist Jobs in Washington DCData Scientist Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for data scientists in Washington DC?
Consulting and defense firms are among the most active sponsors in the DC area. Booz Allen Hamilton, Deloitte, Leidos, SAIC, and Accenture Federal Services have a history of filing H-1B visa petitions for data scientist roles. Non-defense employers such as ICF, Gartner, and various fintech and health-data companies in the broader DC metro also sponsor regularly. Note that roles requiring security clearances are typically unavailable to visa holders.
Which visa types are most common for data scientist roles in Washington DC?
The H-1B is the most common visa category for data scientists in Washington DC, as the role meets the specialty occupation standard requiring at least a bachelor's degree in a relevant field such as statistics, computer science, or mathematics. Some candidates with advanced degrees pursue the EB-2 NIW pathway. Candidates from Australia may qualify for the E-3 visa, which has no lottery and is processed faster.
How to find data scientist visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify data scientist roles in Washington DC where employers are actively willing to sponsor. You can search by role and location to surface positions at consulting firms, federal contractors, and tech companies in the DC metro. This saves significant time compared to manually screening general job postings for sponsorship details.
Which cities in Washington DC have the most data scientist sponsorship jobs?
Washington DC itself is the primary hub, but the broader metro area extends into Northern Virginia cities such as Arlington, McLean, Tysons, and Reston, which host major consulting and technology employers. Bethesda and Rockville in Maryland are also significant, particularly for health data and biomedical analytics roles tied to NIH and adjacent private-sector organizations. Most sponsored positions are concentrated within commuting distance of the District.
Are there state-specific considerations for data scientists seeking visa sponsorship in Washington DC?
Washington DC's data science market is heavily influenced by federal contracting, which means many roles require security clearances that non-US citizens cannot hold, narrowing the pool of sponsorship-eligible positions. Employers subject to federal contracts must also comply with prevailing wage requirements through the Department of Labor's LCA process. University programs at Georgetown, George Washington University, and American University generate a pipeline of international graduates who compete for the available sponsored roles.
What is the prevailing wage for sponsored data scientist jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.