Data Scientist III

Centauri Health Solutions•Tempe, AZ

1d•$113,700 - $168,200

About The Position

Centauri Health Solutions is seeking a highly experienced Data Scientist to lead critical analytical initiatives and architect data science solutions for complex healthcare challenges. The role involves setting technical direction, mentoring a team, and translating ambiguous business problems into high-impact machine learning systems that support the company’s long-term vision. The position focuses on using data science to improve healthcare outcomes and deliver business value. The Data Scientist III leads the design, development, and deployment of advanced machine learning models and AI-driven products; serves as technical lead on complex projects; and builds scalable, production-ready data science pipelines and MLOps frameworks with engineering teams. The role also advises executive and business stakeholders, develops other data scientists and engineers, promotes new technologies and best practices, tracks developments in AI/ML and healthcare technology, and documents work for transparency and reproducibility. All data handling must comply with privacy and security standards, including HIPAA.

Requirements

Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, Physics, or a related discipline.
5–8+ years of hands-on data science experience, with a clear progression of responsibilities and impact.
Portfolio of successfully launched machine learning projects that delivered significant business value in production.
Demonstrated technical leadership or mentorship experience.
Expert-level understanding of machine learning techniques, including deep learning (such as CNNs, RNNs, and Transformers), NLP, reinforcement learning, and causal inference.
Deep knowledge of MLOps best practices, including model lifecycle management, machine learning CI/CD, model monitoring, and governance.
Comprehensive understanding of cloud architecture and services, such as GCP, AWS, or Azure, for scalable AI/ML solutions.
Expertise in healthcare data domains, including clinical data (EHR/EMR), claims, and pharmacy, and familiarity with standards such as HL7/FHIR, ICD, and CPT.
Strong theoretical foundation in statistics, mathematics, and computer science.
Mastery of Python and its data science ecosystem, such as scikit-learn, TensorFlow, PyTorch, and MLflow.
Exceptional SQL and data modeling skills, including the ability to work with complex, multi-source data environments.
Experience designing and building solutions on cloud platforms such as Google Cloud Vertex AI, AWS SageMaker, or Azure Machine Learning.
Proficiency with big data technologies such as BigQuery.
Superior ability to communicate and present complex technical concepts and results to executive-level audiences.

Nice To Haves

Experience in the healthcare or life sciences industry is strongly preferred.

Responsibilities

Lead the end-to-end design, development, and deployment of advanced machine learning models and AI-driven products that deliver business value.
Act as technical lead on complex data science projects, defining roadmaps and priorities and ensuring scientific rigor.
Architect and implement scalable, production-ready data science pipelines and MLOps frameworks in collaboration with engineering teams.
Consult with executive leadership and business stakeholders, translating complex data insights into strategic recommendations.
Mentor and develop data scientists and engineers, fostering innovation, collaboration, and technical growth.
Promote the adoption of new technologies, methodologies, and data science and machine learning best practices across the organization.
Monitor AI/ML and healthcare technology trends to identify opportunities for innovation and competitive advantage.
Document methodologies, processes, and results to support transparency and reproducibility.
Adhere to data privacy and security standards, including HIPAA, in all data handling activities.