Cientista de Dados III

New
BrazilFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Required Skills
PythonSQLAgileGitMachine LearningData scienceGitHub

Requirements

  • Strong foundation in Statistics and Machine Learning, including supervised and unsupervised modeling techniques.
  • Intermediate to advanced knowledge of Operations Research and mathematical optimization methods.
  • Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
  • Experience with version control tools such as Git/GitHub and familiarity with cloud-based environments.
  • Strong business communication skills with the ability to explain complex analytical concepts in a clear and structured way.
  • Collaborative mindset with experience working in cross-functional and agile environments.

Responsibilities

  • Develop end-to-end Data Science solutions, including exploratory analysis, supervised and unsupervised machine learning models, and optimization-based approaches to solve complex business problems.
  • Own the full data science lifecycle, from business understanding and feature engineering to model development, validation, and support for production deployment.
  • Partner with business teams to define use cases, ensure model usability, and support monitoring and adoption of analytical solutions in decision-making processes.
  • Translate complex analytical and statistical results into clear, actionable insights for non-technical stakeholders across different business areas.
  • Collaborate in an agile, multidisciplinary environment, working closely with Data Engineering, Product, and other cross-functional teams.
  • Explore and apply emerging AI tools and techniques to enhance modeling approaches, explainability, and productivity in data science workflows.
  • Contribute to knowledge sharing and continuous improvement of data science practices within the team.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now