Data Scientist - AI and Data Science Engineer 1

## Position Summary Our Deloitte AI & Engineering team transforms technology platforms, drives innovation, and helps make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. ## What You'll Do As an AI and Data Science Engineer I on the AI & Data offering team, you will be responsible for: - Conducting exploratory data analysis across structured, unstructured, text, image, and healthcare-related datasets and developing machine learning and deep learning models using Python and established data science frameworks. - Supporting end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, deployment, monitoring, and performance reporting. - Assisting with natural language processing, large language model, retrieval-augmented generation, vector database, and agentic AI use cases for the NextGen TSS platform and helping industrialize research models into production-ready solutions. - Building reusable data preparation, model training, scoring, and validation components and deploying models using Databricks Model Serving or comparable cloud-based technologies with experiment tracking and model lifecycle management tools such as MLflow. - Contributing to MLOps workflows, including continuous integration and continuous deployment, automated testing, governance, release management, documentation, platform integration, and model and pipeline troubleshooting and optimization. ## Successful Candidate Skills - 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 Deloitte’s Government & Public Services (GPS) practice—our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. ## Qualifications Required: - Bachelor’s degree. - Experience with Python and SQL. - Experience supporting healthcare applications. - Experience developing, evaluating, deploying, or monitoring machine learning models. - Must be able to obtain and maintain the required clearance for this role. - Ability to travel 10–15%, 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 natural language processing, large language models, retrieval-augmented generation, or vector databases. - Experience building machine learning pipelines for data ingestion, feature engineering, training, scoring, and validation. - Experience with Databricks Model Serving or comparable cloud-based model deployment technologies. - Experience with MLflow or similar tools for experiment tracking, reproducibility, model versioning, and lifecycle management. - Experience with continuous integration/continuous deployment, automated testing, and MLOps workflows. - Experience applying privacy, cybersecurity, or regulatory considerations in healthcare or public-sector analytics use cases. ## Compensation For individuals assigned and/or hired to work in New Jersey, a reasonable estimate of the current compensation range is $76,600 to $127,600. Compensation decisions depend on factors including skill sets, experience and training, licensure and certifications, and other business and organizational needs.