Senior Data Scientist - São Paulo, Bogotá or Ciudad de México

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:

Bogotá, Distrito Capital, Colombia, São Paulo, Brazil

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We're looking for talented and data-driven Senior Data Scientists to join our team. You'll have the opportunity to work on challenging projects involving forecasting, clustering, LLMs, using the latest technologies and methodologies. We're seeking professionals proficient in Python and PySpark, with experience in AWS Cloud.

Responsibilities:

• Collect, clean, transform, and analyze large volumes of data.

• Develop and validate robust models for forecasting, clustering, and optimization, using Python and PySpark.

• Deploy and monitor models in production, ensuring their performance and scalability.

• Efficiently utilize AWS Cloud services, with practical experience in Amazon SageMaker for model development and deployment.

• Collaborate with engineering and product teams to integrate data solutions.

• Communicate insights and results clearly and concisely to non-technical stakeholders.

• Identify new data science application opportunities and propose innovative solutions.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.

• Proven experience with Python (libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

• Practical experience with PySpark for distributed data processing.

• Solid experience with AWS Cloud, focusing on Amazon SageMaker. Databricks also considered.

• Track record in forecasting, clustering, and optimization projects.

• Knowledge of SQL and NoSQL databases.

• Ability to work independently and as part of a team.

• Native Portuguese or Spanish

• Advanced English