Data Scientist

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Artificial Intelligence (AI) Developer to custom-develop or leverage AI/ML-enabled applications for GenAI, optical character recognition, automation, predictive modeling, pattern analysis, and fraud detection. The successful candidate will have the opportunity to conceive and deliver innovative AI 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 but with the flexibility to work from home if outside of 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 estates and pipelines.

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 offer our staff 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 all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what’s possible to the Federal Government.

Job Responsibilities

As an AI Developer you will:

• Provide subject matter expertise in matters of data science, machine learning, and artificial intelligence to an entrepreneurial and high performing team
• Collaborate with internal and external stakeholders to GenAI, OCR, automation, predictive modeling, pattern analysis, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence
• Drive data science, ML, and AI-related solutions based on evaluation of requirements, resources, and alternatives
• Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models
• Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems

• Deploy data science and AI/ML solutions and develop methodologies to scale up
• Present and articulate findings and present 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

Required Qualifications

• U.S. Citizenship is required
• Eligible to obtain and maintain a Government Security Clearance
• Bachelor’s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
• Minimum of two  (2) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with AI/ML, data science, or deep learning delivery responsibilities such as:
• Designing and developing data models and algorithms for multi-objective optimization and decision making
• Building and deploying predictive and prescriptive analytics
• Conducting hypothesis testing, statistical and probability analyses
• Applying appropriate methods to describe statistical relationships between variables
• Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining
• Experience using tools such as Databricks; Azure’s Machine Learning and AI Services; AWS’s SageMaker and Bedrock
• Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
• Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
• Experience collecting in 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

Preferred/Nice to Have Qualifications

• Active Government Security clearance
• 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

About Capgemini

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