JR. Data Scientist

• Assist in collecting, organizing, and analyzing structured and unstructured data related to facilities projects, maintenance activities, and program operations
• Support the development, maintenance, and optimization of an Integrated Master Schedule (IMS) for facilities projects using low code COTS tools (e.g., Power Apps, Power BI, Power Automate, Project for the Web, Smartsheet, or similar platforms)
• Apply foundational data science techniques to identify trends, patterns, and performance indicators within facilities and program data
• Support the design, testing, and deployment of AI enabled or machine learning assisted tools, including classification models, predictive analytics, and workflow automation features
• Assist senior staff in processing, cleansing, validating, and transforming data to ensure accuracy and integrity for reporting and modeling
• Develop dashboards, visualizations, and automated reports to communicate insights to program leadership and stakeholders
• Participate in requirements gathering sessions with the Program Office's AI Lead and other stakeholders to document analytical needs, data requirements, and potential AI use cases
• Support the integration of data from multiple systems and sources to improve visibility into project timelines, resource allocation, and risk indicators
• Contributes to the creation of technical documentation, data dictionaries, workflow diagrams, and user guides
• Collaborate with cross functional teams to troubleshoot data issues, refine analytical outputs, and improve tool usability
• Assist in the development of low code applications or enhancements that streamline project tracking, scheduling, and reporting processes
• Maintain awareness of emerging AI, automation, and data analytics capabilities relevant to facilities management and program operations

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * Foundational knowledge of data science principles including data cleaning, feature engineering, exploratory data analysis, and basic statistical modeling

• Understanding of artificial intelligence and machine learning concepts such as supervised learning, classification, regression, and model evaluation
• Familiarity with low-code/no-code platforms (e.g., Microsoft Power Platform, Power BI, Power Apps, Power Automate, Smartsheet)
• Knowledge of project scheduling fundamentals including Gantt charts, dependencies, critical paths, and Integrated Master Schedule (IMS) structures
• Understanding of data visualization best practices and dashboard/report design
• Awareness of data governance, data integrity, and quality assurance principles
• Basic knowledge of relational databases, data structures, and introductory querying concepts
• Familiarity with scripting or analytical languages such as Python, R, or SQL
• Understanding of how to integrate data from multiple systems and sources to support analytics and reporting
• Awareness of emerging AI, automation, and analytics capabilities relevant to facilities management and operational decision-making
• Strong analytical and problem-solving skills with the ability to translate data into actionable insights
• Skill in building dashboards, workflows, or data driven applications using Power BI, Excel, Power Apps, or similar tools
• Ability to support the development of predictive or AI assisted features under senior guidance
• Excellent written and verbal communication skills
• Able to clearly explain technical concepts to non-technical audiences
• Ability to document requirements, workflows, data definitions, and technical processes
• Ability to quickly learn new tools, AI concepts, and data platforms
• Ability to support creation and maintenance of an Integrated Master Schedule using low code tools or scheduling software
• Ability to troubleshoot data issues and propose improvements to data quality and usability
• Ability to work independently and in a collaborative, team-based environment
• Ability to maintain confidentiality and handle sensitive program data responsibly
• Experience with data analysis, visualization, or low code development (academic, internship, or professional)
• Exposure to AI/ML concepts through coursework, projects, or early professional experience
• Experience supporting technical teams or project managers preferred but not required
• Up to four (4) years of relevant experience or a BA/BS degree in Data Science, Computer Science, Information Systems, Engineering, Mathematics, or a related field

Sellers & Associates LLC (S&A) is a Veteran Owned Small Business (VOSB) that provides effective and affordable Programmatic and Engineering Support Services and Solutions for our Government and Commercial Clients. We work directly with our clients taking the time to understand their culture and requirements, designing a custom solution tailored to meet their unique needs at an affordable price without sacrificing quality. Our specialties include Program/Engineering Management, Training/Training Technology, Technology/Product Development Strategy and Analysis, Project Management (Cost, Schedule, Scope & Quality), and Strategic Planning applied within our clients' unique domains and context. Sellers and Associates, LLC is an E-Verify company and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.