Lead Data Scientist

Presbyterian Healthcare Services; Albuquerque (NM); On-site; USD 118,000 - 207,000; Full time

Job summary

Presbyterian Healthcare Services in Albuquerque seeks a Lead Data Scientist to advance advanced analytics, ML modeling, and data-driven decision making. You will lead cross-functional analytics projects, mentor junior scientists, and collaborate with leadership to implement actionable insights.

The role emphasizes statistical modeling, predictive analytics, and real-time decision support within a large healthcare system. Full-time, on-site work at Reverend Hugh Cooper Administrative Center.

Qualifications

• Bachelor's degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field; advanced degrees preferred.
• Eight+ years in BI, statistics, predictive modeling, and business strategy; advanced degrees may substitute.
• Expertise in ML/AI and statistical analysis, incl. hypothesis testing and experimental design.
• Experience building predictive/analytical models across classification, regression, survival, recommender systems, forecasting, and A/B testing.
• Strong knowledge of healthcare data and analytics, HL7, FHIR, ICD-9/10, CPT, DRGs, ETGs.

Responsibilities

• Serve as SME across healthcare analytics domains including program evaluation and care management.
• Lead the design and development of advanced analytics solutions using ML, forecasting, optimization, and descriptive modeling.
• Analyze structured and unstructured data from clinical, financial, and admin sources to identify trends and opportunities.
• Develop, test, validate, and enhance predictive and analytical models for decision-making.
• Translate analytics into actionable operational strategies and measurable outcomes.
• Partner with leaders, IT, vendors, and academia to drive strategic analytics initiatives.
• Create data visualizations and self-service analytics for teams and leadership.
• Lead analytical components of program evaluations and healthcare analytics system implementations.
• Mentor analysts and data scientists, providing technical guidance to the team.
• Stay current on analytics technologies and identify opportunities to improve value.

Skills

Machine learning

Statistical analysis

Executive communication

Mentorship

Education

Bachelor's degree in quantitative field

Master's or Ph.D. preferred

Tools

Python

R

SQL

SAS

Tableau

Job description

Location Address:

9521 San Mateo NEAlbuquerque, NM 87113-2237

Compensation Pay Range:

Minimum Offer $117,915.20Maximum Offer $206,918.40

Now Hiring: Lead Data Scientist

Summary:

Build Your Career. Make a Difference. We are seeking a skilled Lead Scientist to help identify new opportunities for innovative analytics (i.e., descriptive, prescriptive and predictive) based on market developments & business demands as well as manage analytical projects in concert with other Directors within the Analytics Organization (AO).
Collaborate across the organization to perform exploration and experimentation to build prototypes and develop analytical solutions best practices Guide the development of new analytical models to support real time and data driven business decision making. Responsible for mentoring and supporting fellow junior scientist as well as assisting senior leadership in evaluation, development and implementation of cutting-edge reporting/research/analytics generating actionable insights to meet organizations needsType of Opportunity: Full timeJob Exempt: YesJob is based: Reverend Hugh Cooper Administrative CenterWork Shift: Days (United States of America)

Responsibilities:

• Serve as a subject matter expert and thought leader across multiple healthcare analytics domains, including program evaluation, care management, clinical, operational, and financial analytics.
• Lead the design and development of advanced analytical solutions using statistical modeling and machine learning, forecasting, optimization, and predictive and descriptive modeling.
• Analyze complex structured and unstructured data from clinical, financial, and administrative sources to identify trends, patterns, risks, and opportunities.
• Develop, test, validate, and continuously enhance predictive and analytical models that support business and clinical decision-making.
• Translate analytical insights 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 compelling 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, providing technical and analytical guidance and leadership as needed.
• Stay current on emerging analytics technologies and methodologies while identifying opportunities to improve organizational value and support strategic initiatives.

Qualifications:

• Bachelor's degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field required; Master's or Ph.D. highly preferred.
• Eight or more years of experience in business intelligence, statistical analysis, predictive modeling, and business strategy. A relevant Master's may substitute for 2 years of experience, a Ph.D. for 4 years, and a fellowship for an additional 2 years.
• Demonstrated expertise in machine learning, artificial intelligence (AI), and statistical analysis, including hypothesis testing, experimental/quasi-experimental design, and advanced mathematical modeling.
• Experience developing predictive and analytical models using classification, regression, survival analysis, recommender systems, forecasting, optimization, and A/B testing.
• Strong experience with Python, R, SQL, SAS, and Tableau, 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 and industry 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 and present solutions to senior and C-suite leadership.

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 providing analytical mentorship to analysts and scientists, including guidance on the use, interpretation, and integration of advanced analytical models.
• Experience developing strategic, proactive, self-service analytics solutions and translating analytical insights into actionable business strategies.
• Advanced experience analyzing clinical, financial, and administrative data for exploratory and hypothesis-driven studies.
• Strong presentation and communication skills, with the ability to translate complex analytical findings into clear, actionable insights for senior leadership and diverse audiences.

All benefits-eligible Presbyterian employees receive a comprehensive benefits package that includes medical, dental, vision, short-term and long-term disability, group term life insurance and other optional voluntary benefits.

Wellness

Presbyterian's Employee Wellness rewards program is designed to provide you with engaging opportunities to enhance your health and activate your well-being. Earn gift cards and more by taking an active role in our personal well-being by participating in wellness activities like wellness challenges, webinar, preventive screening and more.

Why work at Presbyterian?

As an organization, we are committed to improving the health of our communities. From hosting growers' markets to partnering with local communities, Presbyterian is taking active steps to improve the health of New Mexicans.

About Presbyterian Healthcare Services

Presbyterian exists to improve the health of patients, members, and the communities we serve. We are locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, we are the state's largest private employer with nearly 14,000 employees - including more than 1600 providers and nearly 4,700 nurses.

Our health plan serves more than 580,000 members statewide and offers Medicare Advantage, Medicaid (Centennial Care) and Commercial health plans.

AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.

We're Determined to Support New Mexico's Well-Being | Presbyterian Healthcare Services