Senior Director, Data Science & Machine Learning

Required Qualifications:

• 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.
• Demonstrated success building, leading, or significantly scaling a data science, machine learning, or artificial intelligence function.
• Proven experience delivering end-to-end production machine learning solutions, including deployment, monitoring, governance, and continuous model improvement.
• Strong technical proficiency with Python and modern machine learning frameworks such as scikit-learn, PyTorch, TensorFlow, Hugging Face, MLflow, Snowflake, dbt, or comparable technologies.
• Experience working in healthcare, behavioral health, crisis services, public health, or other federally regulated environments strongly preferred.
• Familiarity with HIPAA, 42 CFR Part 2, and governance requirements related to sensitive data.
• Experience with causal inference methodologies, advanced statistical analysis, or program evaluation preferred.
• Experience supporting federal grants, cooperative agreements, or government-funded programs is highly desirable.
• Physical Requirements:
• Must be able to remain in a stationary position 50% of the time.
• Will constantly operate a computer and other standard office equipment.
• May occasionally ascend and descend a ladder to service office equipment or facilities.
• Will frequently communicate over video calls with internal and external stakeholders to provide updates, technical guidance, and project status.
• We determine base pay through a comprehensive review of skills, experience, education, certifications, geographic location, and other relevant factors. The range listed reflects the compensation parameters for the role and does not represent the full compensation package. A complete overview of compensation and benefits will be provided by the Talent Acquisition team during the hiring process.
• 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.
• Studies have shown that women and people of color are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. Vibrant will consider any equivalent combination of knowledge, skills, education and experience to meet minimum qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.
• 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.
• Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Vibrant does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page and all communications from the Vibrant recruiting team and/or hiring managers will be from an @vibrant.org email address.