ZipRecruiter

Log In

1

Statistics Data Science Jobs in Washington (NOW HIRING)

Cmu

Data Scientist

Arlington, VA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Fanniemae

Data Science Advisor

Washington, DC · On-site

Develop and advise on the implementation of new statistical modeling capabilities to solve ... PHD or Masters in Data Science, Economics, Math, Statistics, or a related field * Shows curiosity ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field. * 5+ years of experience applying data science methodologies tools and techniques to solve real ...

Fanniemae

Data Science Advisor

Reston, VA · On-site

Develop and advise on the implementation of new statistical modeling capabilities to solve ... PHD or Masters in Data Science, Economics, Math, Statistics, or a related field * Shows curiosity ...

New

Mindlance

Data Scientist Specialist

Mclean, VA · On-site

Doctorate degree plus 3 years of working experience (or Master'''''s degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field. * 5+ years of ...

next page

Showing results 1-20

All JobsStatistics Data Science JobsStatistics Data Science Jobs in Washington

Statistics Data Science information

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

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

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Washington? For Statistics Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Washington look for? The top searched job categories for Statistics Data Science jobs in Washington are:
Statistics Data Science jobs near you
Data Scientist - Experienced to Expert Level (Maryland)

Data Scientist - Experienced to Expert Level (Maryland)

U.S. Department of Defense (DOD)

Fort George G Meade, MD

$132K/yr

Other

Posted 10 days ago

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 535 frontline employees who took The Breakroom Quiz

25th of 46 rated military and defense

Job description

Newly hired experienced Data Scientists will be assigned to a mission office by aligning their data science skills with mission needs. Due to the challenging and evolving nature of NSA data science problems, Data Scientists are expected to continue broadening and deepening their expertise throughout their career. For more information, please visit: https://apply.intelligencecareers.gov/job-description/1259937

Qualifications:The qualifications listed are the minimum acceptable to be considered for the position.
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
SENIOR
Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.
EXPERT
Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience.Education:The qualifications listed are the minimum acceptable to be considered for the position.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Employment Type: OTHER

What U.S. Department Of Defense employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply