Senior Director, Data Science – Machine Learning

Vibrant

Senior Director providing strategic and technical leadership in Data Science at Vibrant Emotional Health. Overseeing data science capabilities for crisis lifeline and community programs.

Posted 7/30/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $115,200 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing data science and machine learning strategies, with a strong focus on mentorship and team development. Proficient in leveraging advanced technologies to drive organizational priorities and deliver measurable outcomes.

Highest-signal resume keywords

Data Science Strategy DevelopmentMachine Learning EngineeringPython ProficiencyPeople LeadershipApplied Research Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningApplied ResearchStatistical AnalysisEpidemiologyPublic HealthTechnical LeadershipCareer DevelopmentMentorshipOutcome Measurement

Soft Skills

CommunicationCollaborationAdvisory SkillsStrategic ThinkingTeam Building

Tools & Technologies

PythonScikit-LearnPyTorchTensorFlowHugging FaceMLflowSnowflakeDbt

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePh.D.

Industry Keywords

AI StrategyEmerging TechnologiesBuild-Versus-Buy DecisionsCommunity Programs988 Lifeline

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Define and execute Vibrant's multi-year data science, machine learning, and AI strategy and roadmap in partnership with Technology leadership.
Lead and grow the organization's data science and machine learning function, providing mentorship, technical leadership, and career development for team members.
Translate organizational priorities into a structured applied research and delivery portfolio with measurable outcomes supporting 988 Lifeline, H2H, Community Programs, and enterprise initiatives.
Advise executive leadership on emerging AI technologies, strategic opportunities, and build-versus-buy decisions.

Requirements

What you’ll need

Bachelor's degree in Statistics, Computer Science, Data Science, Epidemiology, Public Health, or a related field required; Master's or Ph.D. strongly preferred.
10+ years of progressive experience in applied data science and/or machine learning engineering.
Minimum of 5 years of people leadership experience managing data scientists, machine learning engineers, or research teams.
Strong technical proficiency with Python and modern machine learning frameworks such as scikit-learn, PyTorch, TensorFlow, Hugging Face, MLflow, Snowflake, dbt, or comparable technologies.

Benefits

Comp & perks

Medical, dental, vision insurance
Supplemental income insurance
Employer paid disability insurance
Employer paid life insurance
Pre-tax FSA for medical and dependent care
401K available