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Data Scientist

Tekfortune

Job Location:

Alexandria, VA - USA

Monthly Salary: Not provided by the employer

Posted: 29 September 2026 (10 days ago)

Application Deadline: 29 December 2026

Vacancies: 1 Vacancy

Job Summary

Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.

Title: Data Scientist
Location: Mark Center Dr. Alexandria VA 22311
Clearance Requirement: Active Secret OR Top-Secret Clerance
Duration: 6-Month Contract-to-Hire

Top Must-Haves:
- Python
- Data Pipelines / ETL
- Data Wrangling & Data Integration
- AI / Machine Learning
- Power BI & Dashboard Development

A leading government contractor is seeking a Data Scientist to support a mission-focused federal program operating at the intersection of national security intelligence and emerging technology. The Data Scientist will develop advanced analytical models artificial intelligence (AI) capabilities and machine learning (ML) solutions that transform large volumes of operational and mission data into predictive insights and decision-support products. This role requires expertise in statistical modeling predictive analytics data science methodologies and AI-enabled technologies supporting operational planning mission assessments capability development and strategic decision-making.

Key Responsibilities

Develop implement and maintain advanced statistical models machine learning algorithms and AI-enabled analytical solutions supporting operational decision-making.
Utilize Maven Smart System (Client) Palantir Power BI Python and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
Analyze large volumes of structured and unstructured operational intelligence and enterprise data to identify trends anomalies correlations and predictive indicators.
Design and develop predictive analytics forecasting models classification algorithms and optimization techniques to support operational planning and resource allocation.
Leverage artificial intelligence machine learning and data science methodologies to automate information extraction target identification threat analysis and operational assessments.
Develop dashboards analytical visualizations predictive data products and executive decision-support tools that effectively communicate complex analytical findings.
Collaborate with Data Engineers Data Analysts software developers operators intelligence analysts and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
Develop analytical frameworks and quantitative models to evaluate system performance operational effectiveness capability gaps technology maturity and acquisition priorities.
Support operational experimentation technology demonstrations capability evaluations and acquisition efforts through advanced modeling and data-driven analysis.
Produce technical documentation model documentation analytical reports executive briefings and recommendations supporting senior leadership.

Required Qualifications
Education & Experience: MA/MS with 10 years experience; BA/BS with 15 years; AA/AS with 17 years; or HS/GED with 19 years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.

Technical Skills:

Experience utilizing Maven Smart System (Client) Palantir or similar enterprise analytics and data integration platforms.
Advanced proficiency with Python for data science statistical analysis machine learning automation and model development.
Experience developing predictive models statistical analyses machine learning algorithms or artificial intelligence applications.
Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
Strong understanding of supervised and unsupervised machine learning techniques statistical modeling predictive analytics and data mining methodologies.
Experience collecting organizing cleansing validating and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
Experience leveraging AI-enabled tools large language models (LLMs) or advanced analytics platforms to support operational decision-making.
Strong proficiency with Microsoft Office Suite including the ability to develop technical documentation analytical reports and executive briefings.

Professional Skills:

Ability to communicate complex analytical concepts and model outputs to senior leadership in a clear and actionable manner.
Proven ability to collaborate across multidisciplinary technical and operational teams.
Experience with doctrine policy analysis or coordination within a large government organization.

Preferred Qualifications

Experience supporting defense intelligence or homeland security organizations.
Experience in the counter-system or counter-threat mission space particularly involving unmanned or improvised systems.
Familiarity with intelligence data sources sensor fusion geospatial intelligence operational data feeds and mission command systems.
Experience developing AI-enabled capabilities for object detection pattern recognition anomaly detection or threat forecasting.
Experience with cloud-based AI/ML environments distributed computing MLOps model lifecycle management and enterprise data governance.
Experience supporting operational research capability development technology evaluations or acquisition decision-making within defense organizations.
Backgrounds in surface warfare aviation maritime defense or installation defense are considered transferable.