Senior Data Scientist - Vibrant Emotional Health

Department: Technology

Reports to: VP, Data

Travel: <10%

Salary Range: $99,800 - $132,300

Vibrant Emotional Health ’s groundbreaking solutions have delivered high quality services and support, when, where and how people need it for over 50 years. Through our state-of-the-art technology-enabled services, community wellness programs, and advocacy and education work, we are building a society in which emotional wellness can be a reality for everyone.

Position Overview:

The Senior Data Scientist is a hands-on analytical role responsible for building, deploying, and maintaining models and reports that drive evidence-based decision-making across Vibrant’s programs and operations. This role supports the full data science lifecycle—from exploratory analysis and model development through deployment, monitoring, and stakeholder communication. The ideal candidate is technically strong, communicates clearly with non-technical audiences, and is motivated by the opportunity to apply data science in service of mental health and crisis care. Duties/Responsibilities:

• Design, develop, validate, and deploy predictive models and analytical reports that address core business and programmatic objectives.
• Ensure models and reports are explainable, well-documented, and accompanied by clear articulation of assumptions, opportunities, and limitations.
• Monitor deployed models for data drift, performance degradation, and quality issues; lead remediation efforts as needed.
• Translate complex analytical findings into accessible insights for program staff, leadership, and external partners.
• Champion data literacy across the organization—partnering with business users to build understanding of how models and reports inform Vibrant’s work.
• Develop and deliver training materials and workshops on data literacy, analytical thinking, and model interpretation.
• Collaborate with data engineers and analytics teams to ensure data pipelines and infrastructure meet modeling and reporting needs.
• Apply statistical and machine learning methods rigorously—selecting appropriate techniques, validating assumptions, and assessing uncertainty.
• Contribute to Vibrant’s data science infrastructure, including model registries, version control, and deployment pipelines on AWS.
• Support ad hoc analytical requests from program and operational teams.
• Additional duties as assigned.

Required Skills/Abilities:

• Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.)
• Experience with model development, validation, deployment, and ongoing quality control in a production environment.
• Hands-on experience with AWS data science services, including SageMaker for model training and deployment.
• Adv