Lead Data Scientist – HCC

Johnson & Johnson

. Design, develop, validate, and deploy machine learning models to identify healthcare compliance risks, anomalies, and emerging patterns .

Posted 10/28/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning, Data Science, and Advanced Analytics, with a strong focus on developing and deploying models that address healthcare compliance risks. Proficient in Python or R, SQL, and leveraging NLP libraries to create scalable data solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython or R ProficiencySQL ProficiencyNLP Libraries ExperienceLeadership in Analytical Projects

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceMachine LearningAdvanced AnalyticsStatistical MethodologiesModel EvaluationAnomaly DetectionClassification TechniquesClustering TechniquesData ProcessingAnalytical Pipelines

Soft Skills

MentoringTechnical AdvisoryCross-Functional InfluenceSolution Discussion LeadershipBusiness Requirement Translation

Tools & Technologies

Copilot TechnologiesChatbot SolutionsKnowledge Retrieval CapabilitiesGovernance StandardsAI Technologies

Industry Keywords

Healthcare ComplianceRisk MonitoringEmerging TechnologiesResponsible AI AdoptionQuantitative Field

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, develop, validate, and deploy machine learning models to identify healthcare compliance risks, anomalies, and emerging patterns
Apply supervised and unsupervised machine learning techniques, including classification, clustering, and anomaly detection
Develop statistical and analytical methodologies for proactive risk monitoring and identification
Build scalable analytical pipelines and workflows using structured and unstructured data
Evaluate model performance and improve models through monitoring, retraining, and validation
Query and analyze large, complex datasets to create reproducible and scalable data science solutions
Develop and deploy Copilot Agents, chatbot solutions, and knowledge retrieval capabilities
Incorporate governance standards into analytic work
Partner with governance, compliance, and technology teams to support responsible AI adoption
Lead solution discussions, proof-of-concepts, demonstrations, and technology evaluations
Translate business requirements into technical solutions and drive execution through deployment
Mentor team members and promote modern analytics and AI practices

Requirements

What you’ll need

Strong proficiency in Data Science, Machine Learning, and Advanced Analytics
Strong proficiency in Python or R and SQL
Bachelor’s degree in data science, statistics, mathematics, computer science, engineering or related quantitative field with 5 years of relevant experience; OR Masters degree with 3 years of relevant experience
Experience developing and deploying ML models using common libraries and frameworks
Experience with NLP libraries, extracting text from documents (OCR), and generating embeddings
Experience processing and analyzing large, complex datasets for advanced analytics
Experience leading analytical projects and influencing cross-functional teams
Experience with AI, Generative AI, and Copilot technologies
Ability to translate emerging technologies into practical business solutions
Ability to act as a trusted technical advisor to global compliance leaders and business stakeholders
Ability to lead solution discussions, proof-of-concepts, demonstrations, and technology evaluations
Ability to translate business requirements into technical solutions and drive execution from concept through deployment
Ability to mentor team members and promote adoption of modern analytics and AI practices

Benefits

Comp & perks

Inclusive work environment
Respect for diversity and dignity of employees
Recognition of employee merit