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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Capgemini - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $120,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Association Rule Learning, Microsoft Azure, Big Data, C++ (Programming Language), Information Systems, Computer Programming, Databases, Data Stores, Data Warehousing, Desktop Computing, DevOps, Fraud Prevention and Detection, Graph Theory, Apache Hadoop, MapReduce, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Microsoft SQL Server, Multiprocessing, Natural Language Processing, Oracle (Applications), Pattern Recognition, Principal Component Analysis, Systems Development Life Cycle, Tensorflow, Scala (Programming Language), Sentiment Analysis, SQL Databases, Pytorch, Apache Spark, Distributed Programming, Deep Learning, Topic Modeling, Jupyter, Keras, Data Lakes, Information Technology, Apache Kafka, Data Pipelines, Databricks - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=90e6235c2e289e7e ## About the Role Do you have experience in Statistical significance testing?, Do you have a Bachelor's degree?, * 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 (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery responsibilities such as: * + Managing teams to deliver work products that comply with quality, time, and technical targets + Coordinating and influencing stakeholders, managing communications, and managing client expectations + 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 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 ## Description As a Senior Data Scientist you will: * Provide subject matter expertise in matters of 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes dev is fun, but setup and ops isn't! 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