Data Analytics Specialist

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help 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.

Work You’Ll Do

The selected candidate will be responsible for driving the analytical efforts and delivering high-quality insights to support our client’s strategic objectives. You will be involved in the full spectrum analytic technical support to mission operations: requirements collection and refinement, translating user requirements into technical requirements, conducting exploratory data analysis, model development, selection, and evaluation, identifying insights from analytical products and then communicating those results to a nontechnical audience. You will be part of a dynamic team environment that will support data analysis and visualization, process improvements, business innovation, and workforce modernization.

• Establish advanced analysis and data visualization methodologies, models, and tools to derive mission outcomes and impacts
• Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools (e.g., Tableau, PowerBI)
• Develop AI/ML models, as needed, with attention to model accuracy
• Execute data science methods using python or similar libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization while delivering in an Agile environment
• Design, deploy, and maintain scalable AI architectures with quality monitoring and access control, ensuring proper documentation and automated deployment.
• Lead and mentor junior practitioners in the data analytics workstream, fostering their development by providing guidance, support, and feedback, while ensuring they meet project expectations and contribute to high-quality deliverables.

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & 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.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or similar
• 5+ years of relevant experience in analytics, data visualization, and data science (e.g., algorithm development, data analysis, NLP, etc.)
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active Secret clearance
• Must be able to support onsite in-office in Los Angeles (El Segundo) 5 days a week.

Preferred:

• Proven leadership in developing AI/ML solutions and applying analytics to enterprise data for strategic outcomes.
• Strong project management and innovation experience; skilled in Agile methodologies.
• Proficient in cloud platforms (AWS, Azure, Google Cloud), big data (Hadoop, Spark), and data engineering (ETL, pipelines).
• Familiar with MLOps tools (Databricks MLFlow) and scalable architecture design.
• Excellent communication, analytical, and problem-solving skills; able to convey technical concepts to diverse audiences.
• Knowledgeable in human-centered design and UI/UX best practices for data visualization.
• Holds a Master’s or advanced degree in a relevant field.
• Committed to continuous learning and adapting to new technologies.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html