Data Scientist III

Centauri Health Solutions, Inc; Tempe (AZ); Presencial; USD 180.000 - 250.000; Jornada completa

Descripción de la vacante

Centauri Health Solutions, Inc. seeks a visionary Data Scientist to lead critical analytical initiatives, architect innovative ML systems, and mentor a talented team.

You will translate complex healthcare problems into scalable data-driven solutions and set technical direction aligned with the company's long-term vision. In this senior role, you will drive end-to-end model development, ensure governance and HIPAA compliance, partner with executives, and stay ahead of AI/ML trends to deliver

Formación

• Requires Master’s degree or PhD in a quantitative field (CS, data science, stats, physics)
• 5–8+ years of hands-on data science experience with impact
• Robust portfolio of production ML projects delivering business value
• Experience in technical leadership or mentorship
• Healthcare or life sciences experience preferred
• Expertise in ML techniques including DL, NLP, RL, causal inference
• Deep knowledge of MLOps, CI/CD, model monitoring, governance
• Cloud architecture experience (GCP/AWS/Azure) and big data tools like BigQuery
• Strong Python data-science ecosystem and SQL proficiency
• Ability to communicate complex results to executives
• Knowledge of HL7/FHIR, ICD/CPT is a plus

Responsabilidades

• Lead end-to-end design, development, and deployment of advanced ML models and AI products
• Serve as technical lead on complex data science projects and define roadmaps
• Architect scalable production pipelines and MLOps frameworks with engineering
• Translate insights into strategic recommendations for executives
• Mentor data scientists and engineers to foster innovation
• Pioneer adoption of new data science technologies and best practices
• Stay abreast of AI/healthcare trends to identify new opportunities
• Document methodologies and results for transparency and reproducibility
• Ensure data privacy and HIPAA compliance in all activities

Conocimientos

Machine Learning

Leadership

Communication

Statistics

Python

SQL

BigQuery

Cloud platforms

HL7/FHIR

Educación

Master's degree or PhD in quantitative field

Herramientas

TensorFlow

PyTorch

scikit-learn

MLflow

Vertex AI

SageMaker

Azure ML

Descripción del empleo

Your Daily Mission

Centauri Health Solutions is seeking a visionary and highly experienced Data Scientist to lead our most critical analytical initiatives. In this strategic role, you will be a thought leader, responsible for architecting innovative data science solutions that solve complex healthcare challenges and drive the company's long-term vision. You will mentor a talented team, set technical direction, and translate ambiguous business problems into tangible, high-impact machine learning systems. This position is ideal for a seasoned expert who is passionate about using data to revolutionize the healthcare industry.

Who You Are

• A 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 experience in data science, with a clear progression of responsibilities and impact.
• A robust portfolio of successfully launched machine learning projects that have delivered significant business value in a production environment.
• Demonstrated experience in a technical leadership or mentorship role.
• Experience in the healthcare or life sciences industry is strongly preferred.
• Expert-level understanding of a broad range of machine learning techniques, including deep learning (e.g., CNNs, RNNs, Transformers), NLP, reinforcement learning, and causal inference.
• Deep knowledge of MLOps best practices, including model lifecycle management, CI/CD for machine learning, model monitoring, and governance.
• Comprehensive understanding of cloud architecture and services (GCP, AWS, or Azure) for building scalable AI/ML solutions.
• Expertise in healthcare data domains, including clinical data (EHR/EMR), claims, pharmacy, and familiarity with standards like HL7/FHIR, ICD, and CPT.
• Strong theoretical foundation in statistics, mathematics, and computer science.
• Mastery of Python and its data science ecosystem (e.g., scikit-learn, TensorFlow, PyTorch, MLflow).
• Exceptional SQL and data modeling skills, with the ability to work with complex, multi-source data environments.
• Proven experience in designing and building solutions on cloud platforms (e.g., Google Cloud's Vertex AI, AWS SageMaker, 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.

The Reality of the Role

• Lead the end-to-end design, development, and deployment of advanced machine learning models and AI-driven products that deliver significant business value.
• Act as the technical lead on complex data science projects, defining the roadmap, setting priorities, and ensuring the scientific rigor of the team's work.
• Architect and implement scalable, production-ready data science pipelines and MLOps frameworks in collaboration with engineering teams.
• Serve as a primary consultant to executive leadership and business stakeholders, translating complex data insights into strategic recommendations.
• Mentor and develop other data scientists and engineers, fostering a culture of innovation, collaboration, and continuous technical growth.
• Pioneer the adoption of new technologies, methodologies, and best practices in data science and machine learning across the organization.
• Stay at the forefront of AI/ML and healthcare technology trends to identify new opportunities for innovation and competitive advantage.
• Document methodologies, processes, and results to ensure transparency and reproducibility.
• Adhere to data privacy and security standards, including HIPAA regulations, in all data handling activities.