Data Analyst

•    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"