Senior Data Scientist

Vibrant Emotional Health; United States; On-site; USD 99,800 - 132,300; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Employer-paid life insurance

Job summary

Vibrant Emotional Health seeks a Senior Data Scientist responsible for building and maintaining analytical models that influence decision-making. This hands-on role involves the complete data science lifecycle from exploration to deployment, serving critical needs in mental health and crisis care.

The ideal candidate will have a solid grasp of programming, excellent communication skills, and a drive to utilize data science in transformative ways within the organization. Candidates should be well-versed in both statistical methods and practical applications in the data science landscape.

Qualifications

• 4+ years of applied data science experience, including AI/ML model development.
• Experience with model development, validation, and deployment.
• Bachelor's or Master’s degree in a quantitative discipline.

Responsibilities

• Design, develop, and deploy predictive models and reports.
• Monitor models for performance degradation and quality issues.
• Translate complex findings into accessible insights.

Skills

Python or R proficiency

Experience with AWS

Statistical knowledge

Analytical curiosity

Communication skills

Education

Bachelor's or Master's degree in a quantitative discipline

Tools

AWS services (SageMaker)

scikit-learn

pandas

Job description

Department: Technology
Reports to: VP, Data
Travel: <10%

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

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.
• 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.

Required Qualifications

• 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 is a strong plus.
• Prior experience as a team lead or similar is helpful.
• Familiarity with equity‑centered data practices and considerations for algorithmic fairness is a plus.

Physical Requirements

• Must be able to remain in a stationary position 50% of the time.
• Will constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
• Will frequently communicate over video calls with internal and external stakeholders.

Full‑time employees will be eligible for 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 a 401(k) plan.

Vibrant Emotional Health is an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, creed, color, religion, gender, gender identity, sex, sexual orientation, citizenship status, national origin, marital status, age, physical or mental disability, genetic information, caregiver status, or any other category protected by applicable federal, state, or local laws.