Senior Data Scientist

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Senior Data Scientist to lead the development and deployment of models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI / ML solutions. The successful candidate will have the opportunity to conceive and deliver innovative data science solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change, and national security. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data science products and ecosystems.

At Capgemini, we are committed to our staff's professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to provide our staff with the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we stay innovative and transformative, maximizing our ability to scale up solutions, keep up with the cutting edge, and bring the art of what's possible to the Federal Government.

Job Responsibilities

• Provide subject matter expertise in data science, machine learning, and artificial intelligence to an entrepreneurial and high‑performing team.
• Drive data science and AI / ML‑related solutions based on evaluation of requirements, resources, and alternatives.
• Lead exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi‑structured, and unstructured) as needed to feed frameworks / models.
• Manage development of custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems.
• Oversee deployment of data science and AI / ML solutions and develop methodologies to scale up.
• Coordinate internal and external stakeholders for pattern analysis, predictive modeling, intelligent automation, GenAI, OCR, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence.
• Present and articulate findings and solutions to clients and team members.
• Maintain knowledge of advances in data science across industry and academia.
• Contribute to the overall growth of the Data and AI practice.

Required Qualifications

Minimum of ten (10) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI / ML, or deep learning delivery responsibilities such as :

Preferred / Nice-to-Have Qualifications

Equal Opportunity Employer

All qualified applicants will be considered for employment based on their skills and merit.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Applicants for employment in the U.S. must have valid work authorization that does not now and / or will not in the future require sponsorship of a visa for employment authorization in the U.S. by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The base salary range for the tagged location is $120k – $155k.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full‑time regular employees are eligible for paid time off, medical / dental / vision insurance, 401(k), and any other benefits to eligible employees.

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