Data Scientist

Guidehouse; Baltimore (MD); On-site; USD 65,000 - 108,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid Holidays

Parental Leave

Transit Benefits

Tuition Reimbursement

Employee Assistance Program

Discretionary bonus

Job summary

Guidehouse is seeking a data scientist/analyst to collect, clean, and integrate data from diverse sources and to develop reproducible analytical pipelines and models. The role includes conducting exploratory and predictive analyses, building dashboards, and communicating results to technical and nontechnical stakeholders.

You will collaborate with researchers, data engineers, program managers, and IT professionals, contributing to data governance, documentation, and responsible handling of

Qualifications

• Bachelor's degree in a relevant field.
• 1+ year experience in data science, analytics, or research support.
• Experience with Python and/or R for data work and reproducible workflows.
• Familiarity with NLP/Generative AI/LLMs and time series analysis.
• Strong data analysis, presentation and documentation skills.
• Experience writing SOPs and contributing to technical docs.
• Ability to obtain/maintain federal/public trust clearance.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources.
• Develop reproducible data pipelines, analytical workflows, and models.
• Conduct exploratory, descriptive, predictive, and inferential analyses.
• Create dashboards, visualizations, and reports for stakeholders.
• Collaborate with researchers, data engineers, program managers, and IT.

Skills

Python

R

NLP

Generative AI

LLMs

Time series analysis

Data analysis

Data presentation

Documentation

SOP writing

Education

Bachelor's degree

Job description

What You Will Do

• Collect, clean, integrate, and validate data from diverse sources, including research, clinical, operational, and public health systems.
• Work with different data formats and standards with data sets that may be large and complex.
• Support implementation of reproducible analytical pipelines, code development, model testing and validation, documentation, and quality assurance.
• Develop and maintain reproducible data pipelines, analytical workflows, and statistical models.
• Conduct exploratory, descriptive, predictive, and inferential analyses.
• Apply appropriate statistical and machine learning methods to support NIH research and program objectives.
• Create dashboards, visualizations, reports, and presentations for technical and nontechnical stakeholders.
• Collaborate with subject‑matter experts, researchers, data engineers, program managers, and IT professionals.
• Support data governance, quality assurance, documentation, privacy, security, and responsible use of sensitive information.
• Contribute to the design of data standards, metadata, documentation, and reproducible research practices.
• Monitor analytical products and models for accuracy, performance, bias, and continued relevance.
• Stay current with emerging methods, tools, and best practices in data science, biomedical informatics, and public health analytics.
• Assist in developing dashboards, reports, and decision‑support products.

Job Family

Scientist

Travel Required

None

Clearance Required

Ability to Obtain Public Trust

What You Will Need

• Bachelor's degree
• Minimum of ONE (1) year of experience in data science, analytics, or research support.
• Experience using Python and/or R to acquire, clean, transform, analyze, and visualize data; support statistical analyses and machine learning models; and develop reproducible analytical workflows.
• Familiarity with NLP, Generative AI, LLMs, time series analysis, or other advanced data science techniques.
• Strong skills in data analysis, data presentation, and documentation.
• Experience writing SOPs and contributing to technical or research documentation.
• Must be able to obtain and maintain a Federal or DoD “public trust”; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

What Would Be Nice To Have

• Background in computational simulation modeling or advanced analytical methods
• Demonstrated contribution to scientific manuscripts, abstracts, or publications
• Experience working for NIH or HHS Agency.
• Familiarity with research operations activities, including documentation and supply coordination
• Hands‑on use of cloud environments such as AWS and/or Azure for data or model development
• Working knowledge of modern machine learning ecosystems, including PyTorch, TensorFlow, Hugging Face, and Generative AI tooling
• Exposure to API‑driven workflows, including OpenAI integrations
• Proficiency in additional analytical or technical environments such as MATLAB

Salary

The annual salary range for this position is $65,000.00-$108,000.00. 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
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&DD Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

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 [e-mail]. 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 [e-mail]. 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 [e-mail]. 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.