Data Scientist Advisor

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

Data Analysis, Data Science, Machine Learning, Machine Learning Algorithms, Predictive Analytics

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking a skilled Data Scientist Advisor with experience supporting federal health agencies, capable of driving data-driven decision-making through advanced analytics, machine learning, and statistical modeling. The ideal candidate will lead and contribute to a range of initiatives including health informatics, predictive analytics, and program evaluation, with responsibilities spanning data wrangling, visualization, and algorithm development to improve public health outcomes.

This role requires deep technical expertise in tools such as Python, R, SQL, and cloud-based data platforms, as well as a strong understanding of federal health data standards and compliance frameworks. Equally important are strong client-facing and communication skills to effectively translate complex data into actionable insights, manage stakeholder expectations, guide junior team members, and influence mission-critical decisions through strategic data storytelling and domain knowledge.

**This role is hybrid with 2-3 days a week onsite. Must be within commuting distance to Falls Church, VA or Gaithersburg, MD.

Essential Functions & Responsibilities

• Provide expert consultation in data science, machine learning, and analytics to support federal health initiatives.
• Curate, manage, integrate, analyze, and visualize large and complex datasets to enhance research, decision-making, and program initiatives.
• Develop predictive analytics, forecasting models, and data-driven solutions to address public health challenges.
• Design and implement scalable data storage, integration, and governance solutions while ensuring compliance with industry best practices and regulations.
• Build and manage databases, computational tools, and automation processes to streamline data analysis, surveillance, and public health initiatives.
• Stay ahead of emerging trends in AI, machine learning, and data science, sharing best practices and mentoring junior professionals.
• Collaborate with stakeholders on research publications, conference presentations, and data-driven insights to support program goals.
• Oversee project resources, documentation, and compliance with federal policies and performance guidelines.
• Strong consulting acumen to engage with federal health clients, translate business needs into data-driven solutions, manage stakeholder expectations, and deliver strategic insights that support mission outcomes.

Required Skills and Experience: 

• Master’s degree with 10+ years of experience in data science, machine learning, computer science or a related field
• Proven expertise in applying advanced tools and methodologies across various domains, including statistical modeling, experimental design, and the creation of publication-quality data visualizations
• 5+ years of experience in developing and implementing machine learning techniques, including classical ML models, transformer-based models, computer vision, large language models (LLMs), and neural networks, using standard Python packages such as Scikit-Learn and Matplotlib
• 5+ years of experience with programming and data analysis using SQL, Python, R, and Linux, as well as proficiency in Bash scripting and Jupyter Notebooks in both local and cloud-based environments
• 3+ years of consulting experience, with a demonstrated ability to understand/grasp business needs, manage stakeholder expectations, and provide strategic direction and guidance on emerging AI technology trends
• Eligibility for Public Trust Clearance, with the ability to obtain and maintain HHS/HRSA Suitability background investigation

Desired Skills and Experience:

• 5+ years of experience as a Data Scientist or in a similar role, with a strong track record in data architecture and machine learning.
• Experience developing statistical models and implementing machine learning algorithms, with a strong understanding of forecasting models and their real-world applications to derive actionable insights.
• Strong expertise in machine learning, including transformer-based models, computer vision, and large language models (LLMs) on AWS and Azure.
• Hands-on experience with data integration tools and ETL (Extract, Transform, Load) processes. Expertise in in building data pipelines and automating reporting workflows.
• Proficiency in SQL, Python, and R for data analysis and model development.
• Experience with data visualization tools such as Tableau or Power BI for deriving and communicating business insights.
• Strong problem-solving, communication, and leadership skills, with the ability to collaborate across teams and stakeholders.
• Ability to work independently, manage multiple projects simultaneously, and take ownership of tasks from ideation to execution.
• Proficiency in writing queries, working with engineering teams to source, transform, and analyze data effectively.
• Ability to formulate business-driven questions and develop data-driven solutions.
• Experience evaluating system performance and reverse engineering application business logic to optimize data processes.
• Programming proficiency in at least one of the following: Java, Python, C, or C++.

#GDITFedHealthJobs

#GDITHealth

The likely salary range for this position is $121,680 - $155,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Hybrid

Work Location:

USA VA Falls Church

Additional Work Locations:

USA MD Gaithersburg

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans