Sr. Software Developers and Web Master Team Support (Data Scientist)

Responsibilities

• Deliver products (by uploading documents to USG servers) developed under this PWS and assist in ensuring that they are available to the greater US IC.
• Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
• Use scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieve information from various sources, analyze it for better understanding about the data set, and build AI tools that automate certain processes.
• Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Perform statistical analysis, apply data mining techniques, and build high quality prediction systems.
• Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau.
• Use major data science languages, such as R and Python.
• Manage and merge disparate data sources, preferably through R, Python, or SQL.
• Conduct statistical analysis and data mining algorithms.
• Have prior experience with large data MultiINT analytics, ML, and automated predictive analytics.
• Lead the migration effort from traditional servers to AWS, ensuring seamless integration, minimal downtime and cost optimization.
• Design and implement overall secure, scalable, and efficient cloud architectures utilizing a wide breadth of AWS services and best practices.
• Design and implement solutions utilizing expert-level knowledge of AWS services including but not limited to: IAM, compute (EC2, Lambda, API Gateway etc.), network (VPC, subnets, network security, etc.), database services (RDS) and CloudFormation.
• Use IAM to create users, role and groups and ensure that the principle of least privilege is