Data Scientist/Developer

Key Responsibilities

• Engage with MDCPS and other team members to understand the current intake process and outcomes.
• Identify how the State decides to deploy resources based on the intake information.
• Contribute to the identification of shortcomings in the intake process and opportunities to improve outcomes.
• Use information from interviews, discovery sessions, and workshops to identify shortcomings in the intake process and opportunities to improve outcomes.
• Identify any internal data sources used in the intake process.
• Devise and propose an improved process using natural language processing and other machine learning methods to favorably impact child outcomes while reducing resources.
• Quantify to the extent possible, the impact of the improved process and use of new technology.
• Map anticipated data source changes and adjust the proposed intake process to account for any data source changes.
• Conduct a preliminary and a final design review of an improved intake tool proof-of-concept implementation.
• Identify the source of the data that will be used in the proof-of-concept implementation.
• Seek validation of the application’s efficacy from key State stakeholders through one-on-one demonstrations.
• Provide a conference room demonstration that shows how the prototype application can improve child outcomes and reduce State resources.
• Participate in the Agile development process to ensure the success of the project.

Requirement Details

• Bachelor’s or Master’s degree in computer science, engineering, physics, or related field.
• Have participated in US Federal Gov’t data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines, and pattern of life analysis.
• Proven expertise custom developing AI programs “from the ground up”, including but not limited to, text processing, and optimized selection and application of multiple LLMs.
• Minimum two (2) years of experience designing and implementing machine-learning solutions based on first principles, including developing custom statistical methods without reliance on pre-built libraries.
• Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete math, advanced statistics, and differential equations are a plus.
• Knowledge and competence in databases such as Postgres, MySQL, SQL Server, as well as Python, C++, JAVA, React, NextJS, NodeJS, and AWS.
• Experience deploying analytic models in pilot or AWS production environments.
• Good communication skills with both technical and non-technical people.
• Strong understanding of model validation and performance measurement.
• Experience deploying advanced analytic solutions in public-sector or regulated environments.

Pay

TBD

Schedule

Remote