About this opportunity
Capgemini SE lists this Optimization Model Data Scientist opportunity in town of texas, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Key Responsibilities
Utilizing innovative approaches and deep SME knowledge in supply chain, engineering solutions and modern DS approaches that include GenAI and LLMs for holistic solution frameworks.
Rapid solutioning and innovative approaches to new, recurrent as well as traditional business problems.
Collaborating with teams to provide cutting‑edge data‑driven insights, recommendations, and solutions.
Clearly articulate complex technical concepts to client audiences through generation and delivery of presentations.
Working with teams to quickly understand client needs, conceive, and develop solutions and, collaboratively, present findings to client audiences.
Required Skills
Experience with a wide variety of data science tools ranging from DS platforms to specialized tools (Gurobi, Local Solver, CPLex).
Deep learning model experience that includes computer vision, NLP and GenAI/LLMs.
Good knowledge of probabilistic approaches via Bayesian modeling and distribution sampling, synthetic data generation and Monte Carlo–type simulations.
Understanding DS tools on cloud platforms such as AWS Sagemaker, Azure AutoML, Vertex AI.
Deep experience with innovative approaches to optimization, coupling systems and heuristic approaches supplemented by data science and statistical modeling.
Life at Capgemini
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized back‑up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the duties, responsibilities and qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.