Senior Data Scientist

Gray Analytics is looking for a Senior Data Scientist contingent upon contract award. Within this position you will

• Leverage the very latest machine learning and AI technologies to
• analyze large, complex data sets,
• produce predictive models based on historical data and analysis,
• and develop effective visualizations to highlight key data findings and patterns
• Evaluate AI tools and integrations using Responsible AI (RAI) guidance
• Analyze complex datasets to identify bottlenecks, inefficiencies, and opportunities for optimization and automation
• Assist in collecting, processing, and analyzing data from various sources
• Develop and maintain data engineering solutions and visualizations, including data pipelines and dashboards
• Collaborate with team members and cross-functional teams to identify data-driven solutions for business problems
• Lead other data scientists in developing predictive models and algorithms
• Create and maintain data documentation and reports
• Mentor and develop senior and junior data scientists
• Work closely with executive leadership to align data science initiatives with business objectives

Requirements

• A minimum of a bachelor's degree in a STEM or STEM-related field
• 5-10 years of experience applying operations research, optimization, or advanced analytical methods
• Strong familiarity with at least one programming language (Python preferred)
• Strong familiarity with process automation, artificial intelligence, and machine learning
• Understanding of data collection, data analysis, and data visualization techniques
• Strong critical thinking, problem-solving, and communication abilities
• Resident of the North Alabama area or willing to relocate to the North Alabama area
• Must be a US citizen and be able to obtain a secret clearance

Desired Qualifications

• Strong programming and software development experience
• Experience developing and applying machine learning models
• Experience with RPA platforms (e.g., Power Automate)
• Experience applying AI/ML technologies and Generative AI (e.g., Large Language Models (LLMs)) and integrating these technologies
• Experience with optimization solvers and OR tools (e.g., Gurobi, CPLEX, R, SAS, SPSS, Minitab)
• Experience with statistics and applied machine learning (regression analysis, time series, probabilistic models)
• Experiential knowledge of applying classification and prediction algorithms (e.g., K-nearest neighbor, SVM, gradient boosting, neural networks, decision trees, and K-means clustering)
• Experiential knowledge of applying classical statistical techniques (e.g., dimensionality reduction (principal component and factor analysis), conducting hypothesis testing, testing for significance, and ANOVA/MANOVA)
• Experience developing and maintaining data pipelines and MLOps
• Experience developing dashboards
• Experience with Agile software development methodology
• Experience with Missile Defense Agency or other DoD organizations
• Experience working with cloud services, such as Microsoft Azure