Data Scientist

Graham Tech; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Four Weeks PTO in Year One

Eleven Federal Holidays

Health, Dental, Vision, Life Insurance

401(k) with employer contributions

Flexible schedules

Education and training reimbursements

Job summary

Graham Technologies in Tampa, Florida seeks a seasoned Data Scientist to build scalable ML models and predictive analytics for logistics and sustainment operations. You will develop forecasting, anomaly detection, and optimization solutions, while delivering executive dashboards and collaborating with data engineers.

The role requires 5+ years in ML/AI, strong Python/R skills, and experience with TensorFlow or PyTorch, plus DoD/government project exposure is a plus.

Qualifications

• Master's degree in a quantitative discipline as listed.
• Minimum five years of professional experience in predictive analytics, ML, or AI.
• Strong programming experience using Python.
• Experience with R for statistics.
• Experience developing and deploying ML models.
• Experience with TensorFlow, PyTorch, or similar frameworks.
• Experience with SQL and relational databases.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written, verbal, and presentation skills.

Responsibilities

• Develop, validate, deploy, and maintain ML and predictive analytics models for logistics and sustainment operations.
• Build demand forecasting models using time-series analysis (ARIMA, exponential smoothing).
• Develop ML models with RF, Gradient Boosting, XGBoost, or RL techniques.
• Design anomaly detection models using clustering and unsupervised methods.
• Develop inventory optimization and resource allocation models.
• Analyze large enterprise datasets to identify trends and risks.
• Prepare data, feature engineering, and model validation.
• Collaborate with Data Engineers to optimize data pipelines and cloud analytics.
• Create executive dashboards and BI visuals (Power BI, Tableau, Qlik).
• Present findings to technical teams, leadership, and Government stakeholders.
• Produce technical documentation and conduct knowledge transfer sessions.

Skills

Analytical thinking

Problem-solving

Presentation skills

Communication skills

Education

Master's degree in Data Science / CS / Statistics / Mathematics / Engineering

Tools

Python

R

SQL

TensorFlow

PyTorch

Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment.

Location

Tampa, Florida

Responsibilities

• Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
• Build demand forecasting models utilizing statistical techniques 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.
• Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
• Develop inventory optimization and resource allocation models utilizing 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.
• Develop 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.
• Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.

Required Qualifications

• Active Top Secret with the ability to attain a SCI.
• 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 using 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.

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.

Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

• 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

Why Graham Technologies?

Our core values define who we are:

• Value our Customers
• Care about our Employees
• Passionate about Innovation
• Believe in a Strong Work Ethic
• Rely on Teamwork
• Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients\' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we\'ve built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.