Senior Data Scientist
Not Disclosed•Full-TimeOn-site
location_on429, O Street Northwest, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Capgemini Government Solutions (CGS) is a vital part of a global business and technology transformation partner trusted by clients to unlock the value of technology. Our Data and AI practice in the DC Metro Area is rapidly expanding, dedicated to helping the U.S. Public Sector address critical national and global challenges such as health, climate change, and national security. We are committed to professional development, partnering with Coursera and Degreed to offer staff the latest courses from academic institutions worldwide, alongside education expense reimbursements and sponsorship for seminars and certifications. Our practice leaders work closely with every team member to chart career paths that ensure we stay innovative, transformative, and capable of scaling solutions for the Federal Government.
As a Senior Data Scientist, you will lead the development and deployment of models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions. You will join an entrepreneurial, high-performing team to conceive and deliver innovative data science solutions. Your day-to-day will involve driving data science initiatives based on the evaluation of requirements and resources, managing the development of custom algorithms, and overseeing the deployment of solutions to scale. You will coordinate with internal and external stakeholders to solve complex business cases involving GenAI, OCR, NLP, and fraud detection, while presenting findings and solutions to clients and team members. This role offers the opportunity to help clients modernize their data science products and ecosystems while keeping pace with the cutting edge of industry and academic advances.
All qualified applicants will be considered for employment based on their skills and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process, which may be used for verification during hiring and onboarding. Applicants for employment in the US 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 US by Capgemini.
Capgemini is a responsible and diverse group of 340,000 team members in more than 50 countries. We are committed to creating tangible impact for enterprises and society. We consider qualified applicants regardless of background.
Work model: On-site
429, O Street Northwest, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Washington, District of Columbia
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, MapReduce, Pig, or Kafka. Experience working in an IT project team following SDLC and DevOps methodologies.
Skills: Data Science, Machine Learning, Artificial Intelligence, Ai/ml, Deep Learning, Pattern Analysis, Predictive Modeling, Intelligent Automation, Genai, Ocr.
Education: Bachelor's degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred.
