Lead Data Scientist

Presbyterian System Services; United States; On-site; USD 118,000 - 207,000; Full time

Job summary

Presbyterian System Services is seeking a Lead Data Scientist to identify opportunities for innovative analytics and manage analytical projects with directors in the Analytics Organization. You will collaborate across the organization to build prototypes and develop best-practice analytical solutions for real-time decision making.

You will mentor junior scientists, develop predictive models, and present clear insights to senior leadership while staying current on new analytics technologies and

Qualifications

• Eight or more years of experience in business intelligence, statistical analysis, predictive modeling and strategy.
• Expertise in machine learning, AI, hypothesis testing, and advanced modeling.
• Experience building predictive/analytic models (classification, regression, survival, recommender, forecasting, optimization, A/B).
• Strong programming in Python, R, SQL; familiarity with BI tools and big data tech.

Responsibilities

• Serve as SME and thought leader across healthcare analytics domains.
• Lead design of advanced analytics using modeling, forecasting, optimization and ML.
• Analyze complex data from clinical, financial, and admin sources to identify trends and risks.
• Develop, test, validate and enhance predictive/analytical models for decision making.
• Translate insights into actionable operational strategies and measurable outcomes.
• Partner with leaders, IT, vendors, academia and government on analytics initiatives.
• Create data visualizations and self-service analytics for teams and leadership.
• Manage program evaluations, workflow optimization, and analytics system implementations.
• Mentor analysts and data scientists; provide technical guidance and leadership.
• Stay current on analytics technologies; identify opportunities to increase value.

Skills

Python

R

SQL

SAS

Tableau

Hadoop

Spark

Kafka

Stro m

Education

Bachelor's degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field

Master's or Ph.D. preferred

Tools

Python

R

SQL

SAS

Tableau

Hadoop

Spark

Kafka

Job description

Location Address:

9521 San Mateo NE
Albuquerque, NM 87113-2237

Compensation Pay Range:

Minimum Offer $117,915.20
Maximum 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 needs

Type of Opportunity:

Full time

Job Exempt:

Yes

Job is based:

Reverend Hugh Cooper Administrative Center

Work 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