Data Scientist

Graham Technologies is seeking a Data Scientist in Tampa, Florida (onsite) to develop machine learning, predictive analytics, and AI solutions that support logistics planning, sustainment operations, and enterprise decision-making.

Key Responsibilities

• Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
• Build demand forecasting models using statistical methods including time-series analysis, ARIMA, and exponential smoothing.
• Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
• Create anomaly detection models using clustering approaches including DBSCAN and autoencoders, along with other unsupervised learning methods.
• Develop inventory optimization and resource allocation models using statistical analysis and optimization techniques.
• Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
• Perform data preparation, feature engineering, and model validation to improve predictive performance.
• Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
• Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
• Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
• Produce technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
• Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
• Monitor model performance and continuously improve deployed AI/ML solutions.
• Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
• Coordinate with multidisciplinary teams to deliver enterprise analytics solutions aligned to mission objectives.

Required Qualifications

• Active TS/SCI preferred; candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered.
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
• Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
• Strong programming experience using Python.
• Experience using R for statistical analysis.
• Experience developing and deploying machine learning models.
• Experience with TensorFlow, PyTorch, or similar machine learning frameworks.
• Experience with predictive analytics and statistical modeling.
• Experience analyzing large, complex enterprise datasets.
• Experience with SQL and relational databases.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written, verbal, and presentation skills.

Technologies

• Python, R
• TensorFlow, PyTorch
• Random Forest, Gradient Boosting, XGBoost, reinforcement learning
• Time-series analysis, ARIMA, exponential smoothing
• Clustering algorithms, DBSCAN, autoencoders
• Power BI, Tableau, Qlik
• SQL, relational databases

Benefits

• Four Weeks of Accrued PTO in the First Year
• Eleven Paid Federal Holidays
• Comprehensive Health, Dental, Vision, and Life Insurance
• 401(k) Plan with Annual Employer Contributions
• Flexible Schedules
• Reimbursements for Continued Education and Training

Preferred Qualifications

• Experience supporting Department of Defense or Federal Government programs.
• Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
• Experience with Databricks and Apache Spark.
• Experience with cloud-based AI/ML environments in AWS or Azure.
• Experience developing executive dashboards and business intelligence solutions.
• Experience with optimization algorithms, linear programming, or supply chain modeling.
• Experience with geospatial analytics or operational planning tools.
• AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
• Security+ or other DoD 8570/8140 certification.

Location

Tampa, Florida (onsite)