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
Required Experience:
IC
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 t...
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
Required Experience:
IC
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