Lead Data Scientist- HCC

6010-Biosense Webster Inc. Legal Entity; São Paulo; Hybrid; BRL 804,000 - 1,126,000; Full time

Job summary

Johnson & Johnson is seeking a Lead Data Scientist for Healthcare Compliance. The role is hybrid with multiple base locations including Sao Paulo and several U.S. sites. You will design and deploy ML models, lead cross-functional analytics, and advance AI-driven compliance capabilities across regions.

You will mentor teams, partner with governance and technology groups, and drive responsible AI adoption while delivering scalable data solutions to monitor risk and improve decision-making.

Qualifications

• Bachelor’s degree in data science or related field with 5 years of relevant experience, or Master’s degree with 3 years of relevant experience.
• Proficiency in Python or R and SQL for data extraction, feature engineering, modelling, automation, and analytics development.
• Experience deploying ML models and NLP/embeddings for large datasets.

Responsibilities

• Design, develop, validate, and deploy ML models to identify potential healthcare compliance risks, anomalies, and emerging patterns.
• Apply supervised and unsupervised machine learning techniques to business questions.
• Develop statistical and analytical methodologies to support proactive risk monitoring and risk identification.
• Build scalable analytical pipelines using structured and unstructured data sources.
• Evaluate model performance and continuously improve through monitoring, retraining, and validation.
• Develop Copilot Agents, chatbot solutions, and knowledge retrieval capabilities.
• Ensure governance standards are incorporated in analytic work.

Skills

Data Science

Machine Learning

Python

SQL

NLP

OCR

Embeddings

Generative AI

Leadership

Education

Bachelor’s degree in data science or related field

Master’s degree in data science or related field

Tools

Libraries/Frameworks (sklearn, TF, PyTorch)

OCR libraries

Copilot / AI tooling

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Bogotá, Distrito Capital, Colombia, São Paulo, Brazil

Job Description: We are currently recruiting for a Lead Data Scientist for our Healthcare Compliance group. This is a hybrid role based in Titusville, NJ, New Brunswick, NJ, Sao Paulo, Brazil and Bogota, Colombia. Position Summary The lead data scientist is responsible for designing, developing, and scaling data-driven, AI/ML enabled, solutions that enhance Healthcare Compliance operations globally. The role bridges compliance, analytics, technology, and business teams to identify opportunities, develop innovative solutions, and operationalize digital capabilities that improve monitoring, insights generation, risk management, productivity, and decision-making. This role serves as a technical lead for advanced analytics, automation, generative AI, Copilot agents, and enterprise AI solutions supporting HCC functions across multiple regions and markets.

Key Responsibilities

• Design, develop, validate, and deploy machine learning models to identify potential healthcare compliance risks, anomalies, and emerging patterns.
• Apply supervised and unsupervised machine learning techniques, including classification, clustering and anomaly detection to business questions.
• Develop statistical and analytical methodologies to support proactive risk monitoring and risk identification.
• Build scalable analytical pipelines and workflows using structured and unstructured data sources.
• Evaluate model performance and continuously 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 to improve efficiency and user experience in our program.
• Ensure governance standards are incorporated in analytic work.
• Partner with governance, compliance, and technology teams to ensure responsible AI adoption and alignment with organizational standards.

Requirements

• Strong proficiency in Data Science, Machine Learning, and Advanced Analytics to develop predictive, operational, and insight-driven solutions.
• Strong proficiency in Python or R and SQL, for data extraction, feature engineering, modelling, automation, and analytics development.
• 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 in developing and deploying ML models using common libraries and frameworks.
• Experience working with NLP libraries, extracting text from documents (OCR), and generating embeddings for downstream work.
• Experience in processing and analyzing large, complex data sets for advanced analytics.
• Experience in leading analytical projects and influencing cross-functional teams.
• Experience with AI, Generative AI, and Copilot technologies with the ability to translate emerging technologies into practical business solutions.

Stakeholder Management & Leadership

Act as a trusted technical advisor to global compliance leaders and business stakeholders. Lead solution discussions, proof-of-concepts, demonstrations, and technology evaluations. Translate business requirements into technical solutions and drive execution from concept through deployment. Mentor team members and promote adoption of modern analytics and AI practices.

Education Qualification

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.

Required Skills

Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at https://www.jnj.com/.