Deloitte
AI and Data Science Engineer III with TS/SCI Polygraph
Baltimore, Maryland · Mid
No sponsorship$10k-$25kDetected 12 days ago
TypeScriptPythonMachine LearningData EngineeringData ScienceData VisualizationNLPStatisticsForecastingResearchCommunicationDemand Planning
About the role
- This role contributes to those efforts by helping turn workforce data into predictive, interactive, and operationally useful analytics products.
- A reasonable estimate of the current range is $119,000 to $198,400.
Requirements
- 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.
- For individuals assigned and/or hired to work in Maryland, Deloitte is required by law to include a reasonable estimate of the compensation range for this role.
- experience and training
Nice to have
- Experience with Software Development Life Cycle (SDLC) processes
Skills
- 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
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- 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
Compensation
- $10k-$25k
Company info
- 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.
- 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
Visa & Work Authorization
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
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This listing is sourced directly from Deloitte's careers page and normalized into a canonical job model.