Data Scientist/Developer - Remote Role (W2 Only)

About this Position: Job Title: Data Scientist/Developer Responsibilities: • Collaborate with client to understand the current intake process, outcomes, resource allocation, and supporting data sources. • Identify gaps and improvement opportunities using insights from interviews, discovery sessions, and workshops. • Design an enhanced intake process using NLP and machine learning to improve child outcomes and optimize resource use. • Quantify the expected impact of the proposed solution and technology improvements. • Assess and map potential changes in internal data sources due to future IT system updates and adjust the approach accordingly. • Conduct preliminary and final design reviews, including data sources, expected outcomes, and data protection (especially for LLM usage). • Develop and implement a proof-of-concept, including data hosting, prototype application development (Python/C++/Java/SQL), integration, and testing. • Validate the prototype’s effectiveness through testing and stakeholder demonstrations, ensuring measurable impact on outcomes and resources. • Deliver a multi-day conference room demo with hands-on experience and actively participate in the Agile development process. Required Skills/Experience: • 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 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. "No phone calls please." "We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, citizenship or any protected status."