ZipRecruiter

Log In

1

Data Science Analytics Jobs in Washington (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

Navigant Consulting

Senior Data Scientist

Chantilly, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do: Our Data and Analytics consultants help clients maximize the value of their ...

New

Guidehouse

Senior Data Scientist

Chantilly, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do: Our Data and Analytics consultants help clients maximize the value of their ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Guidehouse

Senior Data Scientist

Chantilly, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do: Our Data and Analytics consultants help clients maximize the value of their ...

Guidehouse

Senior Data Scientist

Chantilly, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do: Our Data and Analytics consultants help clients maximize the value of their ...

GRVTY

Data Scientist - Senior

Springfield, VA

Master's degree in Data Science, Statistics, Business, or related field preferred. * Expert knowledge of data analytics, data modeling, and data visualization principles. * Experience with Tableau ...

previous page

Showing results 41-60

All JobsData Science Analytics JobsData Science Analytics Jobs in Washington

Data Science Analytics information

See Washington salary details

$27

$62

$106

How much do data science analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science analytics in Washington is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the most commonly searched types of Data Science Analytics jobs in Washington?

The most popular types of Data Science Analytics jobs in Washington are:

What are popular job titles related to Data Science Analytics jobs in Washington?

For Data Science Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Science Analytics jobs in Washington look for?

The top searched job categories for Data Science Analytics jobs in Washington are:

Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Data Scientists and Data Analysts - Future Consideration

ANSER

Arlington, VA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
ANSER enhances national and homeland security by strengthening public institutions and is seeking Data Scientists and Data Analysts for future opportunities. The role involves analyzing complex datasets, generating actionable insights, and supporting mission-critical decisions for government clients and stakeholders.
Responsibilities:
• Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
• Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
• Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
• Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
• Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
• Ensure the accuracy, integrity, and security of data throughout the analysis process.
• Stay current with industry trends and tools in data science, analytics, and emerging technologies.
• Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.
Qualifications:
Required:
• Minimum of bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or a related field. Master’s degree is required for senior level roles.
• 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
• Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
• Experience working with large and complex datasets from multiple sources.
• Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
• Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
• Ability to manage multiple priorities in a fast-paced, mission-focused environment.
• Active security clearance or the ability to obtain one may be required depending on the position.
• Prior experience and knowledge of defense agencies and their technology policies.
Company:
In 1958 the Air Force needed a technically qualified unbiased organization that could rapidly provide analysis for identified and evolving mission requirements. Founded in 1958, the company is headquartered in Falls Church, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply