Note: The job is a remote job and is open to candidates in USA. Vibrant Emotional Health is a leading organization in mental health services, seeking a Senior Data Scientist to enhance their data-driven decision-making. The role involves building and maintaining analytical models and reports to support their programs and operations, while promoting data literacy across the organization.
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
Skills
- 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
- 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
Benefits
- Full time employees will be eligible for excellent comprehensive benefits, including medical
- Full time employees will be eligible for excellent comprehensive benefits, including dental
- Full time employees will be eligible for excellent comprehensive benefits, including vision
- Full time employees will be eligible for excellent comprehensive benefits, including supplemental income insurance
- Full time employees will be eligible for excellent comprehensive benefits, including employer paid disability insurance
- Full time employees will be eligible for excellent comprehensive benefits, including employer paid life insurance
- Full time employees will be eligible for excellent comprehensive benefits, including pre-tax FSA for medical and dependent care
- Full time employees will be eligible for excellent comprehensive benefits, including 401K available
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