• Design and implement data science frameworks across multi-cloud environments
• Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock
• Automate analytic solutions and build scalable analytics capabilities
• Collaborate with the Mission team to gather requirements across various teams
• Assess and implement new technologies and tools to enhance data capabilities
• Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality
• Lead complex data science projects from conception to implementation
• Develop real-time data processing solutions and data solutions at scale
• Integrate AI/ML with applications and systems
• Mentor junior data scientists and contribute to the overall growth of the data science team
• Communicate findings and recommendations to both technical and non-technical stakeholders
Required:
• Degree in Computer Science, Statistics, Mathematics, or related field
• 7+ years of experience in data science or related field, plus additional 3+ years’ experience in a complimentary function
• Strong programming skills in Python, SCALA, and/or UNIX shell scripting
• Expertise in machine learning techniques and statistical analysis
• Proficiency in SQL and NoSQL databases
• Experience with big data platforms such as Hadoop, Spark, and Kafka
• Cloud computing expertise across AWS, Azure, and other
• Experience in designing and implementing real-time data processing solutions
• Strong understanding of AI/ML applications in systems and software
• Excellent problem-solving and communication skills
• Experience with data visualization tools (e.g., Tableau, PowerBI)
• Must remain on the client site during Program core hours of 0900-1500.
Desired:
• Experience in IC
• Familiarity with drag-and-drop data tools and API integrations"