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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 ...

Bespoke Technologies, Inc

Data Scientist

Chantilly, VA · On-site

Bachelor's Degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience with the IC or military may substitute in ...

Ardent Principles, Inc.

Data Scientist

Chantilly, VA · On-site

Bachelor's Degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience with the IC or military may substitute in ...

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 ...

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 ...

Fannie Mae

Data Science Advisor

Washington, DC

Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field. * Advanced proficiency in Python and core data science and machine learning techniques.

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience * Applied experience with SQL, also Python or R or Scala, and modern data science tools ...

Varsity Tutors

Data Science Tutor

Washington, DC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD

D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience * Applied experience with SQL, also Python or R or Scala, and modern data science tools ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in Washington

Statistics Data Science information

What jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

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 do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

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.

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

Cmu

Arlington, VA

Full-time

Posted 16 days ago

Job description


What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. 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 related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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