Senior Python Developer to assist with building a capacity flexibility optimization model using data modeling and data analytics in the public sector.

Our public sector client requires a Reliability cleared Senior Python Developer to assist with building a capacity flexibility optimization model and to measure how the system will be managed to optimize demands using data modeling and data analytics. Machine learning techniques will be utilized with multi-objective optimization techniques to achieve flexibility optimization based on ever-changing supply and demand.

Responsibilities:

• Analyze current state of goods and the demand and requirements to understand the current state of the business process.
• Categorize and prioritize datasets and the approach requirements with the Technical Authority and senior management.
• Identify data requirements against the current enterprise architecture, perform gaps analyses, develop requirements for Technology Architectures (RTA), and prepare migration strategies for both on prem and cloud-based datasets.
• Establish criteria for user acceptance testing, by identifying the target audience, developing test plan, creating detailed test cases and having clear and well-defined criteria.
• Provide subject matter expertise to Data Scientists and Data Analysts, regarding intelligence analysis and associated activities pursued in response to the mandate.
• Effectively communicate and present project results to the Transportation Economic Analysis (TEA) Directorate.
• Clearly document methodologies employed in research and data science outputs/solutions.
• Recommend potential future initiatives to analysts, management, and senior executive.

Must have:

• Python programming experience
• Data bricks experience
• Azure cloud services experience

Nice to have:

• R programming experience
• GIS experience