Cientista de Dados Pleno

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Pleno based in Brazil.

This role offers the opportunity to work at the intersection of data science and industrial innovation, contributing directly to advanced digital solutions that improve operational efficiency and support large-scale sustainability initiatives. You will be part of a highly specialized environment where data, AI, and industrial expertise come together to solve complex real-world problems. The position involves working closely with business stakeholders to understand needs, translate them into analytical and machine learning solutions, and deliver actionable insights. You will also contribute to the development of computer vision models applied to industrial use cases. The environment is collaborative, technically strong, and focused on innovation with tangible global impact. It is an excellent opportunity for a data scientist who wants to apply advanced techniques in a mission-driven, sustainability-focused context.

Accountabilities

• Collect, structure, process, and analyze large datasets to identify patterns, trends, and insights that support strategic and operational decision-making.
• Develop and support statistical analyses, including descriptive and inferential approaches, to address complex business problems.
• Translate business needs into analytical requirements by engaging with stakeholders and collaborating with development and engineering teams.
• Build, train, and validate computer vision and deep learning models applied to industrial and operational use cases.
• Contribute to the deployment and maintenance of machine learning models in production environments.
• Work on continuous improvement of data pipelines, model performance, and analytical methodologies.
  
  

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Physics, Statistics, or related fields.
• Solid understanding of computer vision concepts and prior hands-on experience in CV-based projects.
• Strong programming skills in Python, including knowledge of best practices (PEPs) and key data science/deep learning libraries.
• Proven experience as a Data Scientist working on development, training, and deployment of computer vision models.
• Experience with frameworks such as PyTorch and tools such as YOLO is required or highly desirable.
• Familiarity with ML lifecycle tools such as MLflow, Databricks, Git, ONNX, and OpenShift AI is a plus.
• Strong analytical thinking, problem-solving ability, and communication skills to interact with technical and non-technical stakeholders.
  
  

Benefits

• Competitive salary package aligned with market and experience level.
• Meal and food allowance to support daily needs.
• Home office support allowance and flexible working hours.
• Health and dental insurance with dependent coverage options.
• Transportation assistance for in-office work when applicable.
• Wellness benefits including gym and mental health support platforms.
• Discounts on services and products through corporate partnerships.
• Extended maternity and paternity leave policies.
• Annual performance-based bonus (PLR).
• Day off on your birthday and casual dress code.
• Continuous learning and training programs to support professional growth.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.