Lead Data Scientist

Presbyterian Healthcare Services

. Identify opportunities for descriptive, prescriptive, and predictive analytics based on market developments and business demands .

Posted 11/9/2026full-timeAlbuquerque • New Mexico • United StatesSenior💰 $117,915 - $206,918 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytical solutions, including statistical modeling and machine learning, while effectively translating insights into operational strategies. Proven ability to lead complex healthcare analytics projects and mentor teams in a collaborative environment.

Highest-signal resume keywords

Machine LearningStatistical AnalysisPredictive ModelingPythonHealthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingData AnalysisData VisualizationExperimental DesignA/B TestingForecastingOptimizationData CleansingData Mapping

Soft Skills

Executive-Level CommunicationPresentation SkillsMentoring

Tools & Technologies

PythonRSQLSASTableauRelational DatabasesNoSQL Databases

Industry Keywords

Healthcare DataHealthcare AnalyticsHL7FHIRLOINCICD-9ICD-10CPTDRGsETGs

Tech Stack

Tools & technologies

ETLNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Identify opportunities for descriptive, prescriptive, and predictive analytics based on market developments and business demands
Manage analytical projects in collaboration with Directors within the Analytics Organization
Serve as a subject matter expert and thought leader across healthcare analytics domains
Lead advanced analytical solutions using statistical modeling, machine learning, forecasting, optimization, and predictive/descriptive modeling
Analyze structured and unstructured clinical, financial, and administrative data
Develop, test, validate, and enhance predictive and analytical models
Translate analytical insights into operational strategies, workflows, and measurable business outcomes
Partner with business leaders, IT, vendors, academia, and government partners on strategic analytics initiatives
Create data visualizations and self-service analytics solutions
Lead analytics components of program evaluations, workflow optimization, change management, and healthcare analytics system implementations
Mentor and develop analysts and data scientists
Track emerging analytics technologies and methodologies to improve organizational value

Requirements

What you’ll need

Bachelor’s degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field required
Eight or more years of experience in business intelligence, statistical analysis, predictive modeling, and business strategy
Expertise in machine learning, artificial intelligence, statistical analysis, hypothesis testing, experimental/quasi-experimental design, and advanced mathematical modeling
Experience with classification, regression, survival analysis, recommender systems, forecasting, optimization, and A/B testing
Strong experience with Python, R, SQL, SAS, Tableau, relational and NoSQL databases
Knowledge of healthcare data, healthcare analytics, and standards including HL7, FHIR, LOINC, ICD-9/10, CPT, DRGs, and ETGs
Experience leading complex healthcare analytics projects, including ETL, data cleansing, data mapping, BI, and data-driven strategy development
Executive-level communication and presentation skills
A relevant Master’s may substitute for 2 years of experience; a Ph.D. may substitute for 4 years; a fellowship may substitute for an additional 2 years
Remote applicants must be located in the United States, excluding California, Illinois, North Dakota, New York, Ohio, Washington, and Wyoming

Benefits

Comp & perks

Medical, dental, and vision benefits
Short-term and long-term disability insurance
Group term life insurance
Optional voluntary benefits
Employee Wellness rewards program
Gift cards and other rewards for participating in wellness activities