Cientista de Dados Sênior
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Required Skills
- AWSDockerPostgreSQLPythonSQLGitMachine LearningPandasscikit-learn
Requirements
- Ph.D. (or strong academic background) in STEM-related fields such as Technology, Engineering, Mathematics, or similar quantitative disciplines.
- Bachelor’s degree is mandatory.
- Proven experience in Data Science, Machine Learning, and statistical modeling in production or applied environments.
- Strong programming skills in Python, including experience with Pandas, Scikit-learn, and Jupyter notebooks.
- Solid knowledge of SQL, PostgreSQL, and relational database systems.
- Experience handling large volumes of data and working with unstructured datasets.
- Familiarity with software engineering practices, including Git, Docker, and AWS.
- Strong analytical thinking, problem-solving ability, and attention to detail.
- Advanced English communication skills (mandatory for interviews and global collaboration).
- Portfolio demonstrating data visualization and analytical projects is highly desirable.
Responsibilities
- Analyze large-scale structured and unstructured datasets to extract insights and support strategic and operational decision-making.
- Develop, validate, and optimize machine learning models and statistical solutions for complex business problems.
- Build clear and impactful data visualizations to communicate findings to technical and non-technical stakeholders.
- Design and execute data science experiments using Python-based tools and libraries, ensuring robustness and reproducibility.
- Collaborate with global teams to deliver end-to-end analytical solutions aligned with business needs.
- Apply software engineering best practices (version control, containerization, testing, and modular design) to data science workflows.
- Work with relational databases and large-scale data environments to ensure efficient data manipulation and access.
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