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Data Scientist

Guidehouse

HOUSTON, TXJobSeen 1w agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
HOUSTON, TX
Work Authorization
US work authorization required

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Requirements

Credentials this posting asks for.

Top Secret clearanceBachelor's degree

Job overview

Guidehouse seeks a Data Scientist to support Department of Homeland Security programs as part of an AI and Data Defense and Security segment fusion cell. The role integrates and analyzes structured and unstructured data, develops analytical workflows and models, and supports investigative insight generation. The candidate will collaborate with analysts and subject matter experts and communicate findings through visualizations, reports, and briefings.

Skills & qualifications

RequiredNice to have

Skills

Data ScienceData AnalyticsConsultingLaw EnforcementIntelligence AnalysisFusion Cell SupportPower BIGeospatial DataArcGISFinancial Data AnalysisCryptocurrency AnalysisETL/ELTData IntegrationProcess AutomationProcess OptimizationOperational AnalyticsAnalytical ThinkingProblem-SolvingCommunicationData ValidationData Quality AssessmentQuery OptimizationInsight Communication

Qualifications

Active Top Secret ClearanceBachelor's Degree3+ Years Data Science, Analytics, or Consulting Experience5 Years Data Science and Analytics Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Parental Leave
401(k) Match
Tuition Assistance

Full job description

Job Family :

Data Science Consulting

Travel Required :

Up to 10%

Clearance Required :

Active Top Secret (TS)

What You Will Do :

Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security Segment in support of Department of Homeland Security (DHS) programs. This role will directly support a multi-disciplinary fusion cell, collaborating with All-Source Analysts, GEOINT and SIGINT Analysts, a Forensic Accountant, and a Cryptocurrency Subject Matter Expert to integrate and analyze diverse data sets. The Data Scientist will be responsible for fusing structured and unstructured data sources (e.g., FinCEN, open-source intelligence, geospatial data platforms such as ArcGIS) and developing automated analytical workflows and models to enhance investigative efficiency and insight generation.

Responsibilities include, but are not limited to:

  • Supporting a fusion cell by integrating and analyzing data sets (FinCEN, Open Source, ArcGIS, etc.)

  • Collecting, cleaning, transforming, and analyzing large datasets using tools such as Python, R, and SQL

  • Performing data fusion and entity resolution across disparate systems and datasets

  • Designing and developing data visualization and dashboard solutions (e.g., Power BI) to communicate analytical insights

  • Developing and maintaining data models, algorithms, and automated processes to support investigative and analytical workflows

  • Identifying patterns, trends, and anomalies to support investigative efforts and operational decision-making

  • Ensuring data governance, quality assurance, and validation standards are met

  • Analyzing existing processes and identifying opportunities for automation and optimization

  • Collaborating with cross-functional team members to translate analytical findings into insights

  • Summarizing and presenting results and recommendations through written reports and briefings

What You Will Need :

  • An ACTIVE and MAINTAINED "TOP SECRET" Federal or DoD security clearance.

  • Bachelor’s degree

  • THREE (3) or more years of experience in data science, data analytics, or consulting

What Would Be Nice To Have :

  • Five (5) years of experience in data science and data analytics

  • Experience supporting law enforcement, intelligence, or investigative environments

  • Experience working in or supporting a fusion cell or intelligence analysis team

  • Proficiency with data visualization tools such as Power BI

  • Experience with geospatial data and tools (e.g., ArcGIS)

  • Familiarity with financial and/or cryptocurrency data analysis

  • Knowledge of ETL/ELT processes and data integration tools

  • Experience in process automation, optimization, and operational analytics

  • Strong analytical thinking, problem-solving, and communication skills

  • Experience conducting data validation, data quality assessments, and query optimization

  • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders

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 [email protected] . 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 [email protected] . 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 [email protected] . 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.

How this job compares

Set against the 5,152 open Data Scientist jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This postingNot listed
  • Texas median$135–224K/yr193 salary ranges
  • US median$53–69/hr134 hourly ranges
Openings
Olive Jobs lists 281 open Data Scientist jobs in Texas and 5,152 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,434 postings).
Education
This posting asks for a bachelor's degree; 2,772 of the 5,152 open Data Scientist jobs (54%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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