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Data Science Analytics Jobs in Washington, DC (NOW HIRING)

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 ...

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 ...

Required : • Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph. • 5 years of professional experience in data science, analytics, or data engineering roles ...

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 ...

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 ...

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 ...

Data Scientist

Washington, DC · On-site

$112K - $179K/yr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

Required : • Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph. • 5 years of professional experience in data science, analytics, or data engineering roles ...

Data Scientist

Washington, DC · On-site

$112K - $179K/yr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

You will be part of a research-focused data science team working to advance national security objectives, produce and analyze results, disseminate findings, and contribute to publications and ...

You will be part of a research-focused data science team working to advance national security objectives, produce and analyze results, disseminate findings, and contribute to publications and ...

Responsibilities : • Apply in-depth knowledge of data science toolkits, data analytics, and statistical analysis to support data discovery, use, and exploitation within multi-cloud environments • ...

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints. * Translate business ...

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Data Science Analytics information

See Washington, DC salary details

$27

$61

$106

How much do data science analytics jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data science analytics in Washington, DC is $62.00, 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, and why are they important?

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, DC? The most popular types of Data Science Analytics jobs in Washington, DC are:
What are popular job titles related to Data Science Analytics jobs in Washington, DC? For Data Science Analytics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Washington, DC look for? The top searched job categories for Data Science Analytics jobs in Washington, DC are:
Infographic showing various Data Science Analytics job openings in Washington, DC as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $128,953 per year, or $62 per hour.
Senior Data Scientist

Senior Data Scientist

Guidehouse

Chantilly, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Job Family:

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 data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They help clients define their information strategy, architecture, and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.

The successful candidate will bring expertise in developing, building, and maintaining data assets and managing a team. This is a high visibility role and the candidate will be expected to speak confidently and intelligently about a variety of data products, methodologies, industry trends and challenges. This role will be involved in managing and maintaining client relationships as well as proactively participate in business development discussions. The candidate should demonstrate the flexibility to pivot and respond quickly to a dynamic and evolving company culture and broader energy transition landscape.

Duties will include:

  • Coordinating and leading internal team actions to meet project and client objectives.

  • Consulting with the client to determine analytics required, technical solutions and methods to ensure a high confidence model for client decision making.

  • Interfacing with Client Subject Matter Experts to design, develop, validate and deploy capabilities that enable client objectives.

What You Will Need:

  • An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph.

  • Bachelor's degree.

  • THREE (3) or more years of experience in Data Science, Data Analytics, and/or Data Visualization.

  • Experience cleaning, manipulating, and pre-processing data using Python, SQL, R, and/or Tableau Prep Builder.

  • Experience developing reports and dashboards for business intelligence, utilizing Data Visualization tools such as Tableau.

What Would Be Nice to Have:

  • M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

  • Tableau Desktop Certification: Certified Professional, Certified Associate, Specialist. Tableau Server Certification: Certified Professional, Certified Associate.

  • Proficiency querying data in SQL.

  • Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python or R.

  • Experience with MS Forms and Power Automate.

  • Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams.

  • Excellent communication skills, both verbal and written.

#LI-DNI


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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