Data Scientist Developer

Remote, USA • Full-time • Posted 2026-05-04

Process Analysis: Collaborate with team members to understand current intake workflows and identify how resources are deployed based on intake information.
Solution Design: Devise an improved intake process using NLP and machine learning algorithms to favorably impact child outcomes and resource allocation.
Data Mapping: Determine how internal data sources may shift with future IT modifications and adjust the proposed process accordingly.
Prototyping: Build a demonstrable prototype application using Python, C++, Java, and/or SQL.
Model Validation: Conduct preliminary and final design reviews, ensuring data protection (especially if using LLMs) and validating the application's efficacy with stakeholders.
Testing & Integration: Create data hosting solutions (simulated or state-provided), integrate the POC with data sources, and conduct rigorous functional validation.

Technical Proficiency: Advanced experience in software development using Python, C++, Java, and SQL.
Data Science Expertise: Proven track record in developing and testing statistical models and integrating NLP methods.
Database Management: Experience with Postgres or similar relational databases.
Analytical Skills: Ability to quantify the impact of new technology on organizational outcomes and resource reduction.
Education: Bachelor's degree in a related technical field.
Professional Level: Advanced career level with the ability to work independently in an Agile-style environment.

Experience in Human Services or Child Protection technology sectors.
Strong communication skills for conducting one-on-one efficacy demonstrations with non-technical stakeholders.

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