Senior Data Scientist

Key Responsibilities

• Create a Development Framework
• Establish a framework for the execution of technical tasks within the proof-of-concept.
• Identify critical milestones related to information, receipt of data, testing, and delivery.
• Identify key risk factors and means of mitigation.

Current Processes & Technology

• Participate in critical discussions involving current intake workflows, how decisions are made based on information from the intake process, and the allocation of State labor.
• Lead the development of a new intake process that leverages natural language processing and other machine learning algorithms.
• Evaluate architectural and computational implementation trade-offs for each functional block.
• Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or other alternatives.

Design Review(s)

• Create the framework for the design review process.
• Lead the design review and evaluate
• The functional design with respect to resolving prioritized intake process shortcomings, and the impact on children and State resources.
• Technical, schedule, data security, and other risk factors.
• Source of data and its usefulness in demonstrating the efficacy of the approach.
• Proposed methods of test and demonstration.

Implementation of Proof-of-Concept

• Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate reviews.
• Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.

Roadmap

• Contribute to the development of a roadmap that illustrates how the developed technology could be integrated into the State’s ecosystem of technologies and processes.

Agile Development Process

• Contribute to the Agile development process to ensure the success of the project.