Head of Data (AI/ML)

TL;DR

Head of Data (AI/ML): Leading a data science and data engineering team to design, build, and refine machine learning models for identifying high-risk members for musculoskeletal conditions. Focus on owning the technical strategy for Predict's algorithms, data infrastructure, and ensuring reliable data ingestion, transformation, and delivery at scale.

Location: Remote, must be based in the United States with eligibility to work without sponsorship.

Salary: $217,000–$341,000 a year

Company

hirify.global is a healthcare technology company leveraging an AI Care platform to provide world-class healthcare, reinventing pain care, women’s health, movement health, and mental health, while significantly reducing costs for clients.

What you will do

• Design, build, and refine machine learning models to identify members at high risk for costly interventions.
• Own the technical architecture for Predict's data pipelines, ensuring reliable data ingestion, transformation, and delivery.
• Establish and maintain ML ops practices, including model versioning, monitoring, and retraining.
• Manage, mentor, and grow a team of data scientists and data engineers.
• Serve as Predict's technical subject matter expert in client meetings, sales cycles, and implementation discussions.
• Collaborate with product, engineering, health economics, and data access teams.

Requirements

• 5-7 years of experience in data science, machine learning engineering, or a related technical field.
• 2+ years of experience managing technical teams with a track record of delivering results.
• Expertise in healthcare data, particularly medical and pharmacy claims data; EMR experience is highly valued.
• Strong foundation in machine learning techniques and their application to real-world problems.
• Proficiency in Python and the modern data science stack (pandas, scikit-learn).
• Experience building and maintaining production data pipelines using tools like Airflow, dbt, or Spark.
• Familiarity with ML ops practices.
• Excellent communication skills to explain technical concepts to non-technical stakeholders.

Nice to have

• Experience at a healthcare technology company, health plan, or healthcare analytics vendor.
• Familiarity with healthcare economics, value-based care models, or population health management.
• Exposure to predictive models for utilization management, risk stratification, or care navigation.
• Experience working in a high-growth startup environment.

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• Life and AD&D Insurance, financial advisory services, and supplemental benefits.
• Health Savings Account and equity shares.
• Discretionary PTO plan and parental leave.
• 401(k) and flexible working hours.
• Remote-first company with paid company holidays.
• Free digital therapist for you and your family.