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Statistics Data Science Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Data Science Tutor

Leesburg, VA · 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 ...

Data Science Tutor

Bowie, MD · 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 ...

Data Science Tutor

Fairfax, VA · 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 ...

Data Science Tutor

Alexandria, VA · 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 ...

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

Data Science Tutor

Rockville, MD · 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 ...

Data Science Tutor

Laurel, MD · 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 ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

... role. • BA/BS in Math, Statistics, Engineering, Computer Science, or related field • ... Company : Elder Research is a data science consultancy specializing in predictive analytics, AI ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

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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 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:
Senior Data Scientist

Senior Data Scientist

Ex Parte, Inc

Bethesda, MD • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
  • Drive technical roadmap to extend risk monitoring across identified threat surfaces.
  • Develop/experiment/ship state-of-the-art prediction models
  • Use excellent data science practices to iteratively produce high performing models
  • Create immediate impact through sound and practical deliveries of risk monitors
  • Work with engineering colleagues to convey findings through data visualizations
  • Measure, tune and refine existing algorithms to incrementally improve performance
  • Analyze new and existing data after extracting. transforming and combining it in novel ways
  • Convey needs to engineering and operations teams to ensure healthy feedback loops
  • Attract and onboard new talent while preserving and enhancing existing culture
  • Build strong partnerships and collaborate with other teams across the enterprise
  • Demonstrate sense ownership and personal accountability for your team's work

Qualifications
Basic Qualifications:
  • 5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving
  • 2+ years management, mentoring, or other closely related team or people leadership experience
  • Experience in machine learning (supervised, semi-supervised or unsupervised learning)
  • Strong communication, delivery management, and leadership skills

Preferred Qualifications
  • A bachelor's degree, MSc or Ph.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/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git)

Additional Information
All your information will be kept confidential according to EEO guidelines.