Senior Data Scientist

Washington, DC, USA

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 and help our clients develop, deploy, and modernize their data science products and ecosystems.

Capgemini provides training and educational resources, including partnerships with Coursera and Degreed, reimbursement for educational expenses, and sponsorship of seminars, conferences, and certifications.

• 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 solutions based on evaluation of requirements, resources, and alternatives
• Lead exploratory data analysis to evaluate data pipelines and construct data stores 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 to 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 of data science in industry and academia
• Contribute to the overall growth of the Data and AI practice

• U.S. Citizenship is required
• Eligible to obtain and maintain a Government Security Clearance
• Be at client site full time in Washington, DC
• Bachelor's degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
• Minimum of ten (10) years of professional experience in data science, AI/ML, or deep learning delivery, including managing teams, coordinating stakeholders, designing data models, building predictive analytics, conducting hypothesis testing, statistical analyses, performing PCA/MCA, and applying appropriate methods to describe statistical relationships
• Experience using tools such as Databricks, Azure’s Machine Learning and AI Services, AWS’s Sage Maker and Bedrock
• Experience using libraries and frameworks such as Tensor Flow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
• Experience collecting and managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access
• Ability to multi-task and stay flexible in a dynamic work environment

• Active Government Security clearance
• Experience developing algorithms for High-Performance Computing (HPC) environments using custom multi-core desktop computers and MS MPI
• Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases
• Experience working with big data distributed programming languages and ecosystems such as Hadoop, Map Reduce, Pig, or Kafka
• Experience working in an IT project team following SDLC and Dev Ops methodologies

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

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.

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