Chief Data Scientist: Health Analytics & AI Leadership

New Mexico Department of Justice

Albuquerque (NM)

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Job summary

Health Care Authority (HCA) in New Mexico is seeking a Manager, Data Science / Chief Data Scientist to lead analytics strategy, develop data-driven solutions, and guide cross-functional teams across policy and health programs.

The role focuses on advanced statistics, machine learning, and data storytelling to inform executive decisions and improve health equity and access to services.

Qualifications

  • PhD or MSc in Statistics, Data Science, Mathematics, Physics, Economics, Engineering, Public Health, Epidemiology, or related quantitative field.
  • Specialization in advanced statistical methodologies or AI/ML is preferred.
  • Ten years of relevant data science project experience including statistical analysis, data engineering, and data visualization.

Responsibilities

  • Serve as the department's lead expert in statistics, data modeling, and predictive analytics.
  • Translate business needs into analytics and reporting requirements for executive decision-making.
  • Develop collaborative analytic efforts with cross-department partners to advance policy and equity.
  • Research and implement cutting-edge ML, deep learning, and AI techniques to increase analytic efficiency.
  • Provide technical support for internal studies, including outcome evaluation and program monitoring.

Skills

Statistics
Data modeling
Predictive modeling
Machine learning
Data visualization
Experimentation
Communication to leadership

Education

PhD or MSc in Statistics/Data Science

Tools

MapReduce
Hadoop
Hive
Kafka

Job description

Health Care Authority (HCA) in New Mexico is seeking a Manager, Data Science / Chief Data Scientist to lead analytics strategy, develop data-driven solutions, and guide cross-functional teams across policy and health programs.

The role focuses on advanced statistics, machine learning, and data storytelling to inform executive decisions and improve health equity and access to services.

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