Data Scientist

Graham Technologies

$110K — $130K *
Tampa, FL 33647In-Person
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.
  • Master's degree in a quantitative discipline.
  • 5+ years in predictive analytics or machine learning solutions.
  • Proficient in Python and experienced with R for statistical analysis.
  • Expertise in deploying machine learning models using frameworks like TensorFlow or PyTorch.
  • Strong analytical skills with experience in SQL and relational databases.
  • Excellent written and verbal communication skills.

Responsibilities

  • Develop and maintain machine learning and predictive analytics models for logistics operations.
  • Build demand forecasting models using statistical techniques like time-series analysis.
  • Create machine learning models employing algorithms such as Random Forest and XGBoost.
  • Design anomaly detection models through clustering algorithms and unsupervised learning.
  • Optimize inventory and resource allocation using statistical analysis techniques.
  • Analyze complex datasets to uncover operational trends and risks.
  • Collaborate with Data Engineers to enhance data pipelines and cloud analytics.

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
Full 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/Sensitive Compartmented Information (TS/SCI) clearance.
  • 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

Similar Jobs

More Jobs at Graham Technologies

  • Data Engineer
    $100K — $120K *
    Tampa, FL 33647 (Hillsborough County)
    Information Technology
    In-Person
  • Data Scientist
    $110K — $130K *
    Tampa, FL 33647 (Hillsborough County)
    Aerospace & Defense
    In-Person
  • Senior Software Engineer
    $110K — $130K *
    Eglin Afb, FL 32542 (Okaloosa County)
    Aerospace & Defense
    In-Person
  • Project Manager
    $90K — $130K *
    San Diego, CA 92154 (San Diego County)
    Education, Government & Non-Profit
    In-Person
  • Task Lead
    $100K — $130K *
    San Diego, CA 92154 (San Diego County)
    Business Services
    In-Person

More Aerospace & Defense Jobs

Find similar Data Scientist jobs: