Senior Data Scientist at Capgemini Government Solutions

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

• 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

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 $120k - $155k.

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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.