Capgemini
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 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
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 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 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
Eligibility 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 with data science, AI/ML, or deep learning delivery responsibilities, which may be substituted with advanced degrees for equivalent experience
Experience managing teams to deliver work products that comply with quality, time, and technical targets
Experience coordinating and influencing stakeholders, managing communications, and managing client expectations
Experience designing and developing data models and algorithms for multi‑objective optimization and decision making
Experience building and deploying predictive and prescriptive analytics
Experience conducting hypothesis testing, statistical and probability analyses, and applying appropriate methods to describe statistical relationships between variables
Experience 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 others
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
Preferred/Nice to Have Qualifications
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, 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
Equal Opportunity Employer
All qualified applicants will be considered for employment based on their skills and merit.
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 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. 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.
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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
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 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 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
Eligibility 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 with data science, AI/ML, or deep learning delivery responsibilities, which may be substituted with advanced degrees for equivalent experience
Experience managing teams to deliver work products that comply with quality, time, and technical targets
Experience coordinating and influencing stakeholders, managing communications, and managing client expectations
Experience designing and developing data models and algorithms for multi‑objective optimization and decision making
Experience building and deploying predictive and prescriptive analytics
Experience conducting hypothesis testing, statistical and probability analyses, and applying appropriate methods to describe statistical relationships between variables
Experience 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 others
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
Preferred/Nice to Have Qualifications
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, 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
Equal Opportunity Employer
All qualified applicants will be considered for employment based on their skills and merit.
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 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. 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.
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