Lead Data Scientist

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Jacksonville, Florida, United States of America

Job Description:

We are currently seeking a strategic and technically strong Lead Data Scientist based in Jacksonville FL, Raritan NJ or Raynham, MA.

About Vision:

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team that’s reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs – from the pediatric to aging eye – in a patient’s lifetime.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

About the Role:

The Vision Global Data & Data Science team is seeking a Lead Data Scientist to join our dynamic Data Science team, dedicated to supporting our Commercial organization. This role will focus on evaluating marketing and campaign strategies with the goal of optimizing performance & sales. You will play a critical role in designing and executing advanced analytical solutions to measure the effectiveness of marketing initiatives, while identifying the best measurement frameworks for various use cases.

The Lead Data Scientist will:

• Develop Advanced Models: Lead the creation and maintenance of Marketing Mix Models (MMMs) to assess the contribution of various marketing channels to sales.

• Experiment Design: Design and execute Randomized Controlled Trials (RCTs) to evaluate the causal impact of marketing and campaign tactics.

• Observational Studies: Implement observational studies to inform decision-making when experimentation is not feasible.

• Select the Right Tool: Assess and deploy appropriate measurement methods (e.g., experimental vs. observational) based on the business question, data structure, and context.

• Insights Delivery: Translate model outputs and analytical findings into actionable recommendations for the marketing and sales teams.

• Stakeholder Collaboration: Partner closely with marketing, analytics, and sales leaders to align solutions with business needs.

• Programming & Automation: Build reproducible pipelines and robust scripts using R and Python to automate workflows.

• Visualization: Create compelling dashboards and visualizations for non-technical stakeholders to understand performance insights clearly.

• Work with Global & Regional teams to collect data, design, build, and implement AI/ML models to support Vision Care initiatives and improve its outcomes

• Partner with our Data Operating Model team to enable a sustainable life cycle journey for prioritized data, including ingestion, cataloguing, data quality controls, & data governance

• Perform other related tasks as assigned by management

Required Qualifications

• Master’s Degree / PhD + 2 years’ experience, OR Bachelor’s Degree + 4 years’ experience

• Educational degree in quantitative field, such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, and/or related quantitative

• Proven experience with Regression Analysis, Marketing Mix Modeling (MMM), and other advanced statistical techniques.

• Advanced knowledge of R and Python for data manipulation, analysis, and modeling.

• Experience interpreting and commun