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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI and Data Science Engineer III - **Company:** Deloitte T.T.L. - **Location:** Baltimore, MD, United States - **Experience:** Experienced - **Salary:** $119,000.0 - $198,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Systems Development Life Cycle, Software Engineering, Tableau (Software), Web Analytics, Scripting - **Published:** August 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-and-data-science-engineer-iii-with-ts-sci-polygraph-baltimore-md--c763e4e5-6ae1-49bd-8382-0db862f47b76 ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others The team The team focuses on process engineering and automation using a range of tools and technologies, including artificial intelligence, robotic process automation, agentic solutions, and scripting. The team develops scalable solutions that improve decision-making, increase efficiency, and expand access to data-driven insights. This role contributes to those efforts by helping turn workforce data into predictive, interactive, and operationally useful analytics products., Required: * 4+ years of experience with Python * 4+ years of experience with advanced statistical analysis and modeling * 4+ years of experience with Tableau * 4+ years of experience with machine learning * Bachelor's degree * Active TS/SCI with polygraph clearance * Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: * Experience with Software Development Life Cycle (SDLC) processes, Analysis Skills, Artificial Intelligence (AI), Automation, Communication Skills, Data Analysis, Data Entry, Data Modeling, Data Quality, Data Science, Decision Support, Demand Forecasting/Planning, Detail Oriented, Develop Methodologies, Documentation, Establish Priorities, Gap Analysis, Incentive Programs, Interpersonal Skills, Leadership, Machine Learning, Modeling Languages, Multitasking, Operations Research, Predictive Modeling, Presentation/Verbal Skills, Process Engineering, Python Programming/Scripting Language, Quality Metrics, R Programming Language, Reporting Dashboards, Risk, Scalable System Development, Scripting (Scripting Languages), Sensitive Compartmented Information (SCI), Simulation, Software Development Lifecycle (SDLC), Statistical Modeling, Statistics, Tableau, Time Management, Top Secret Clearance, Use Cases, Web Analytics, Willing to Travel, Workforce Planning, Writing Skills ## Description As an AI and Data Science Engineer III on the team, you will be responsible for: * Building and maintaining predictive models for workforce analytics, including attrition modeling, supply and demand forecasting, accession planning, skill-gap analysis, and retention risk scoring using Python and/or R * Applying operations research methods such as optimization, simulation, queuing theory, and scenario analysis to workforce planning challenges * Designing and developing interactive dashboards and visualizations in Tableau and Python-based tools to communicate model outputs to technical and non-technical stakeholders * Developing AI-enabled and large language model-powered tools that allow users to query workforce data and analytics outputs using natural language * Documenting model methodology, assumptions, validation results, and limitations, and partnering with data engineering resources to support reliable data inputs and data quality standards ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [JavaScript? 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