Data Scientist

Deloitte • Inglewood, CA • 56min ago

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/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

5+ Years of Experience in a Data Science or Machine Learning role.

5+ Years of Experience Proficiency in programming languages such as Python or R.

5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.

5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy

Limited immigration sponsorship may be available

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

Master's or Ph.D. in a relevant field.

Experience with big data technologies like Spark or Hadoop.

Experience with deep learning frameworks like TensorFlow or PyTorch.

Familiarity with cloud platforms such as AWS, Azure, or GCP.

Experience with data visualization tools like Tableau or Power BI.

Analytical/ Decision Making Responsibilities

Analytical ability to manage multiple projects and prioritize tasks into manageable work products

Can operate independently or with minimum supervision

Excellent Written and Communication Skills

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