Principal/Lead Data Scientist - São Paulo, Bogotá or Ciudad México

Johnson & Johnson; São Paulo; Presencial; BRL 150.000 - 250.000; Tempo integral

Resumo da oferta

A leading company in healthcare innovation is seeking a talented Lead Data Scientist in São Paulo to drive advanced analytical projects. The role involves leading the development of data solutions and mentoring junior data scientists while utilizing technologies like Python, PySpark, and AWS. Join us to make a profound impact on health and advance your career in a dynamic environment.

Qualificações

• Robust experience with Python and PySpark in production.
• Extensive background with AWS Cloud services.
• Experience with forecasting, clustering, and optimization projects.

Responsabilidades

• Lead the design and implementation of advanced data solutions.
• Mentor junior data scientists and optimize machine learning workflows.
• Architect scalable solutions on AWS Cloud.

Conhecimentos

Data Analytics

Machine Learning

Python

PySpark

AWS Cloud

Formação académica

Bachelor's degree in Computer Science

Postgraduate degree

Ferramentas

Amazon SageMaker

Databricks

S3

Lambda

Glue

Redshift

Descrição da oferta de emprego

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; Ciudad de Mexico, Mexico; 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 a talented and data-driven Lead Data Scientist 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:

1. Lead the design, development, and implementation of advanced solutions for forecasting, clustering, optimization and LLM implementations.
2. Mentor junior and mid-level data scientists, sharing knowledge and best practices.
3. Define and optimize data pipelines and machine learning workflows using Python and PySpark.
4. Architect and implement scalable solutions on AWS Cloud, with advanced expertise in Amazon SageMaker and Databricks and other relevant services (e.g., S3, Lambda, Glue, Redshift).
5. Identify and explore new technologies and approaches to solve business problems.
6. Communicate effectively with leadership and stakeholders, translating complex results into actionable insights.
7. Ensure the quality, security, and governance of data and models.
8. Contribute to the strategy and roadmap of the company's data science area.

Qualifications:

1. Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. A postgraduate degree is a plus.
2. Robust and proven experience with Python and PySpark in production environments.
3. Extensive experience with AWS Cloud, with deep knowledge of Amazon SageMaker and its integration with other AWS services.
4. Extensive experience and a successful track record in multiple forecasting, clustering, and optimization projects, including production deployment.
5. Strong technical leadership, mentoring, and communication skills.
6. Experience with MLOps and machine learning engineering.
7. Ability to define and implement scalable data and model architectures.
8. Portuguese or Spanish native
9. Advanced English.