Data Scientist

Graham Technologies
  • Tampa, FL
  • Full-time
  • Instant Apply
2 days ago

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, FloridaResponsibilitiesDevelop, 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 QualificationsActive 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 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 QualificationsExperience 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 YearEleven Paid Federal HolidaysComprehensive Health, Dental, Vision, and Life Insurance401(k) Plan with Annual Employer ContributionsFlexible SchedulesReimbursements for Continued Education and TrainingWhy Graham Technologies?Our core values define who we are:Value our CustomersCare about our EmployeesPassionate about InnovationBelieve in a Strong Work EthicRely on TeamworkIntegrity MattersFounded 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.

Numbers & Facts

LocationTampa, FL
Job TypeFull-time

Skills

  • Agile Programming Methodologiesunmatched
  • Algorithmsunmatched
  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Apache Sparkunmatched
  • Artificial Intelligence (AI)unmatched
  • Backlog Prioritizationunmatched
  • Business Intelligenceunmatched
  • Business Intelligence Softwareunmatched
  • Business Modelunmatched
  • Business Solutionsunmatched
  • Cloud Computingunmatched
  • CompTIA Security+unmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Consultingunmatched
  • Continuous Improvementunmatched
  • Cross-Functionalunmatched
  • Data Managementunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Demand Forecasting/Planningunmatched
  • DoD Directive 8140unmatched
  • DoD Directive 8570unmatched
  • Documentation Modelsunmatched
  • Equipment Maintenance/Repairunmatched
  • Federal Governmentunmatched
  • Geospatial Analysisunmatched
  • Governmentunmatched
  • Insuranceunmatched
  • Knowledge Transferunmatched
  • Leadershipunmatched
  • Logisticsunmatched
  • Machine Learningunmatched
  • Mathematicsunmatched
  • Microsoft Windows Azureunmatched
  • Model Validationunmatched
  • Operational Auditunmatched
  • Operations Planningunmatched
  • Operations Researchunmatched
  • Optimization Algorithmunmatched
  • Performance Analysisunmatched
  • Performance Managementunmatched
  • Performance Modelingunmatched
  • Power BIunmatched
  • Predictive Modelingunmatched
  • Presentation/Verbal Skillsunmatched
  • Product Demonstrationunmatched
  • Python Programming/Scripting Languageunmatched
  • Qlikunmatched
  • R Programming Languageunmatched
  • Reinforcement Learningunmatched
  • Relational Databases (RDBMS)unmatched
  • Reporting Dashboardsunmatched
  • Resource Managementunmatched
  • SQL Databasesunmatched
  • Scalable System Developmentunmatched
  • Scorecardingunmatched
  • Sensitive Compartmented Information (SCI)unmatched
  • Software Administrationunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Sprint Planningunmatched
  • Standard Operating Procedures (SOP)unmatched
  • Statistical Modelingunmatched
  • Statisticsunmatched
  • Supply Chainunmatched
  • Tableauunmatched
  • Team Buildingunmatched
  • Technical Writingunmatched
  • Time Series Analysisunmatched
  • Top Secret Clearanceunmatched
  • Training Data Setsunmatched
  • Training/Teachingunmatched
  • Trend Analysisunmatched
  • Writing Skillsunmatched
  • eCommerceunmatched

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