Lead Data Scientist

PHP Administrative; Albuquerque (NM); Hybrid; USD 118,000 - 207,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Wellness rewards program

Job summary

PHP Administrative is a healthcare analytics organization seeking a Lead Data Scientist in Albuquerque, NM with a hybrid schedule and remote options across most of the United States. The role leads analytic initiatives, develops predictive models, and translates insights into strategic actions for business and clinical decision-making.

You will guide modeling across domains, mentor teams, and partner with leaders to drive measurable outcomes with self-service analytics and clear data

Qualifications

• Bachelor’s degree in quantitative field; Master’s or Ph.D. preferred.
• 8+ years in BI, statistics, predictive modeling, and business strategy.
• Expertise in ML/AI, hypothesis testing, and experimental design.
• Models: classification, regression, survival, recommender, forecasting, A/B testing.
• Strong Python, R, SQL, SAS, Tableau; relational and NoSQL databases experience.
• Healthcare data knowledge including HL7, FHIR, LOINC, ICD-9/10, CPT, DRGs, ETGs.
• Experience leading BI, ETL, data cleansing and data-driven strategy projects.
• Executive communication to translate analytics for senior leadership.

Responsibilities

• Serve as SME and thought leader across healthcare analytics domains.
• Lead design and development of ML/statistical solutions, including forecasting and optimization.
• Work with structured/unstructured data to identify trends, risks, opportunities.
• Develop, test and improve predictive and analytical models for decisions.
• Translate analytics into actionable operational strategies and workflows.
• Partner with business leaders, IT, vendors, academia, and government partners.
• Create data visualizations and self-service analytics for teams and leadership.
• Lead analytical components of program evaluations and system implementations.
• Mentor analysts and data scientists; stay current on analytics tech.

Skills

8+ years experience

Executive communication

Leadership

Cross-functional collaboration

Mentoring

Education

Bachelor’s degree in quantitative field

Master’s or Ph.D. highly preferred

Tools

Python

R

SQL

SAS

Tableau/Power BI

Hadoop/Spark

NoSQL databases

Job description

Within a healthcare analytics organization, this Lead Data Scientist role supports the identification of innovative opportunities in analytics and the execution of analytical projects that drive measurable outcomes. You will act as a technical authority across multiple domains, guiding model development and helping stakeholders turn insights into practical strategies. The position is based in Albuquerque, NM with a hybrid schedule and the flexibility for qualified remote applicants across most of the United States.

What you’ll do

• Serve as a subject matter expert and thought leader across healthcare analytics domains, including program evaluation, care management, clinical, operational, and financial analytics.
• Lead design and development of advanced analytical solutions using statistical modeling and machine learning, including forecasting, optimization, and predictive and descriptive modeling.
• Work with complex structured and unstructured data from clinical, financial, and administrative sources to identify trends, patterns, risks, and opportunities.
• Develop, test, validate, and continuously improve predictive and analytical models used for business and clinical decision-making.
• Translate analytics into actionable operational strategies, workflows, and measurable business outcomes.
• Partner with business leaders, IT, vendors, academia, and government partners to develop and execute strategic analytics initiatives.
• Create clear data visualizations and self-service analytics solutions for operational teams and senior leadership.
• Lead analytical components of program evaluations, workflow optimization, change management, and healthcare analytics system implementations.
• Mentor and develop analysts and data scientists through technical and analytical guidance.
• Stay current on emerging analytics technologies and methodologies, identifying opportunities to improve organizational value and support strategic initiatives.

Required qualifications

• Bachelor’s degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field (Master’s or Ph.D. highly preferred).
• 8+ years of experience in business intelligence, statistical analysis, predictive modeling, and business strategy.
• Proven expertise in machine learning, AI, and statistical analysis, including hypothesis testing and experimental or quasi-experimental design, plus advanced mathematical modeling.
• Experience building predictive/analytical models using classification, regression, survival analysis, recommender systems, forecasting, optimization, and A/B testing.
• Strong hands-on skills with Python, R, SQL, SAS, and Tableau, along with experience using relational and NoSQL databases (experience with Hadoop, Spark, Kafka, Storm, graph databases, or other big data technologies preferred).
• Strong knowledge of healthcare data and healthcare analytics standards, including HL7, FHIR, LOINC, ICD-9/10, CPT, DRGs, and ETGs.
• Experience leading complex healthcare analytics projects, including ETL, data cleansing, data mapping, business intelligence (BI), and development of data-driven strategies that improve business decisions and operational performance.
• Strong executive-level communication and presentation skills, with the ability to translate complex analytics into clear recommendations for senior and C-suite leadership.

Technologies

• Python, R, SQL, SAS, Tableau, Power BI
• Hadoop, Spark, Kafka, Storm, graph databases
• Relational databases, NoSQL databases
• HL7, FHIR, LOINC, ICD-9/10, CPT, DRGs, ETGs
• ETL, A/B testing

Compensation and work setup

Salary: USD 117,915 - 206,918 per year.

Location: Albuquerque, NM (hybrid). In-office expectation is every Tuesday, Wednesday, and Thursday for individuals within 60 Miles of Albuquerque.

Remote: Remote applicants are considered in the United States, except for California, Illinois, North Dakota, New York, Ohio, Washington, and Wyoming.

Benefits

• Comprehensive benefits package including medical, dental, vision, short-term and long-term disability, group term life insurance, and other optional voluntary benefits.
• Employee Wellness rewards program.

Preferred qualifications

• Proficiency with SAS or similar analytics software and data visualization tools such as Tableau or Power BI.
• Demonstrated expertise across multiple healthcare analytics domains, such as risk adjustment, clinical program effectiveness, and care management analytics.
• Experience mentoring analysts and data scientists, including guidance on use, interpretation, and integration of advanced models.
• Experience developing strategic, proactive, self-service analytics solutions and translating insights into actionable business strategies.
• Advanced experience analyzing clinical, financial, and administrative data for exploratory and hypothesis-driven studies.
• Strong presentation and communication skills for translating findings into clear, actionable insights for senior leadership and diverse audiences.