Data Scientist

at Deloitte in Boise, Idaho, United States Job Description Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project 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. Recruiting for this role ends on June 30 th 2026 Work you'll do/Responsibilities + Work with stakeholders to identify business problems and formulate them as data science challenges. + Collect, clean, and explore large datasets to uncover trends and patterns. + Develop and train machine learning models to solve problems such as prediction, classification, and clustering. + Validate and deploy models into production environments. + Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. + Stay up to date with the latest trends and technologies in data science and machine learning. + 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 + Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management + Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/vertical To view full details and how to apply, please login or create a Job Seeker account