Senior Data Scientist

Vibrant Emotional Health • New York, NY

1d • Hybrid

About The Position

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.

Requirements

• 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.
• Advanced statistical knowledge—including regression, classification, clustering, causal inference, and experimental design.
• Experience working with large, complex datasets in cloud-based data warehouse environments (Redshift, Snowflake, or similar).
• Excellent written and verbal communication skills—able to present findings clearly to technical and non-technical audiences alike.
• Strong analytical curiosity, attention to detail, and ability to work independently on ambiguous problems.
• High level of influencing ability.
• Bachelor’s or Master’s degree in a quantitative discipline (statistics, computer science, epidemiology, public health, applied mathematics, or related field), or equivalent applied experience.
• 4+ years of applied data science experience, including AI/ML model development and code-based analysis and reporting.

Nice To Haves

• Experience in public health, behavioral health, social services, or a mission-driven organization a strong plus.
• Prior experience as a team lead or similar helpful.
• Familiarity with equity-centered data practices and considerations for algorithmic fairness a plus.

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.

Benefits

• Full time employees will be eligible for excellent comprehensive benefits, including medical, dental, vision, supplemental income insurance, employer paid disability insurance, employer paid life insurance, pre-tax FSA for medical and dependent care, and 401K available.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees