Back to jobs

Cleared Data Scientist - Managing Consultant

Pay
$130,000–216,000/year — pay source
Relevant experience supporting Department of State or other Federal Government organizations. The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyActive Secret or Top-Secret Clearance

What you’ll work on

Full posting
  • Design data modeling processes, algorithms and predictive models

  • Connect, clean and analyze data from multiple sources in Python and SQL

  • Meet with clients to gather requirements and define data needs

  • Present technical insights and results to technical and non-technical leaders

  • Mine large data sets to identify trends that inform strategic decisions

From the employer’s posting
Ability to design data modeling processes, create algorithms and predictive models
Proficiency in connecting data sources and wrangling and analyzing data using Python.
meet with clients to gather requirements
Ability to clearly and effectively communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership
Experience manipulating large data sets and using them to identify trends and reach meaningful conclusions to inform strategic business decisions

What you’ll bring

All qualifications

Core experience

  • Proficiency in connecting data sources and wrangling and analyzing data using Python.
  • Proficiency in querying and wrangling data using SQL.
  • Strong understanding of statistics and statistical methods and principles.
  • Ability to learn new software tools, such as Power Automate.
  • Ability to design data modeling processes, create algorithms and predictive models, as well as perform custom analysis
  • Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success

Preferred experience

  • Experience developing and deploying machine learning models in Python.
  • Relevant experience supporting Department of State or other Federal Government organizations.
  • Experience and proficiency in automating data analytics and other business processes using Power Automate.
  • Knowledge of additional coding languages such as R and SQL.
Qualification wording
Proficiency in connecting data sources and wrangling and analyzing data using Python.
Proficiency in querying and wrangling data using SQL.
Strong understanding of statistics and statistical methods and principles.
Ability to learn new software tools, such as Power Automate.
Ability to design data modeling processes, create algorithms and predictive models, as well as perform custom analysis
Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success
Experience developing and deploying machine learning models in Python.
Relevant experience supporting Department of State or other Federal Government organizations.
Experience and proficiency in automating data analytics and other business processes using Power Automate.
Knowledge of additional coding languages such as R and SQL.

About Guidehouse

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

In the employer’s words · Read in context

Apply at Guidehouse

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$130K–$216K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 60.

At Guidehouse, jobs usually come down by about day 30.

From 11,873 similar postings that came down, and 162 of Guidehouse’s. Coming down is not always a hire.

Guidehouse is hiring

108 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Power BI
Where the posting names them
- Minimum of EIGHT (8) years of relevant professional experience OR minimum of SIX (6) years of relevant professional experience with a relevant M.S./M.A. degree - Proficiency in connecting data sources and wrangling and analyzing data using Python. - Proficiency in querying and wrangling data using SQL.
What Would Be Nice To Have: - Experience developing and deploying machine learning models in Python. - Proficiency in PowerBI.
- Experience and proficiency in automating data analytics and other business processes using Power Automate. - Knowledge of additional coding languages such as R and SQL. - Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS.
- Proficiency in connecting data sources and wrangling and analyzing data using Python. - Proficiency in querying and wrangling data using SQL. - Strong understanding of statistics and statistical methods and principles.
- Knowledge of additional coding languages such as R and SQL. - Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS. - Understanding of AI frameworks/methodologies.
- Experience developing and deploying machine learning models in Python. - Proficiency in PowerBI. - Experience and proficiency in automating data analytics and other business processes using Power Automate.

Your next step

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Family:

Data Science Consulting


Travel Required:

None


Clearance Required:

Active Secret

What You Will Do:   

  • Belong to a collaborative team dedicated to AI and data science 
  • Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering. 
  • Work as a data scientist/data analytics/business intelligence professional in collaboration with cross-functional teams. 
  • Continue career development in data science and data analytics software, methods, and consulting. 
  • Operate successfully on remote projects as well as hybrid on-site projects in the DC metro area. 


What You Will Need:

  • Active Secret or Top-Secret Clearance  
  • B.S. or B.A. in a relevant quantitative and/or computational discipline. 
  • Minimum of EIGHT (8) years of relevant professional experience OR minimum of SIX (6) years of relevant professional experience with a relevant M.S./M.A. degree  
  • Proficiency in connecting data sources and wrangling and analyzing data using Python.  
  • Proficiency in querying and wrangling data using SQL.  
  • Strong understanding of statistics and statistical methods and principles.  
  • Ability to learn new software tools, such as Power Automate. 
  • Ability to design data modeling processes, create algorithms and predictive models, as well as perform custom analysis 
  • Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success 
  • Experience manipulating large data sets and using them to identify trends and reach meaningful conclusions to inform strategic business decisions 
  • Ability to clean, aggregate, organize data from multiple sources and transfer this information to data warehouses 
  • Ability to define data requirements and ensure storage, availability, and coherence of electronically stored information to guarantee it meets the organization's needs 
  • Competency in data mining, including structuring of raw data to formulate or recognize patterns to generate new information and unlock information and insights that help the organization better manage risks 
  • Ability to understand client mission, business processes, and data nuances and adapt data science solutions accordingly.  
  • Experience as a data consultant or serving in a technical solutions' advisory capacity, translating critical capability needs for customers and recommending a particular technical solution, methodology/process, or tool. 
  • Ability to clearly and effectively communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership, and discuss how they can be used to inform business decisions.  
  • Ability to be a self-starter and self-manager, meet with clients to gather requirements, and proactively follow through to push initiatives forward, integrating collaboratively with other teams and stakeholders.  
  • Ability to think strategically and drive innovation.   
  • Ability to support on-site and hybrid projects in the DC metro area 


What Would Be Nice To Have:

  • Experience developing and deploying machine learning models in Python.   
  • Proficiency in PowerBI. 
  • Experience and proficiency in automating data analytics and other business processes using Power Automate.   
  • Knowledge of additional coding languages such as R and SQL. 
  • Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS.    
  • Understanding of AI frameworks/methodologies. 
  • Quality control experience including debugging and conducting Quality Assurance of new features and enhancements. 
  • Process improvement principles such as Lean, Six Sigma/DMAIC, Total Quality Management, or Continuous Improvement/Kaizen. 
  • Ability to facilitate meetings and present topics to diverse groups of functional and technical staff. 
  • Experience developing new and re-designing existing processes to meet new and/or evolving business requirements. 
  • Excellent verbal and written communication skills 
  • Relevant experience supporting Department of State or other Federal Government organizations.    

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Relevant experience supporting Department of State or other Federal Government organizations. The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 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.
Location & working pattern

US - VA, Arlington

- Continue career development in data science and data analytics software, methods, and consulting. - Operate successfully on remote projects as well as hybrid on-site projects in the DC metro area. What You Will Need:
More source context
- Ability to think strategically and drive innovation. - Ability to support on-site and hybrid projects in the DC metro area What Would Be Nice To Have:
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.