Data Scientist

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Data Scientist to develop and deploy 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

As a Data Scientist you will :

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

Collaborate with 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

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

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 three (3) 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 :

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

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

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 and that image may be used for verification, including during the hiring and onboarding process.

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, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k - $120k.

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

Note : No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.