Data Scientist

Posted 15 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Brazil, PST, NOT STATED

🔍 Industry: AI

🏢 Company: ProjectGrowth

⏳ Experience: 5+ years

🪄 Skills: DockerPythonSQLGitMachine LearningNumpyAPI testingREST APIPandasData visualizationData modeling

Requirements:

5+ years of experience as a Data Scientist or in a similar role.
Prior experience in AI and machine learning is highly preferred.
Proficiency in Python and libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib/Plotly, and SHAP.
Strong understanding of predictive analytics and classic machine learning techniques.
Advanced SQL knowledge, including concepts like Join and Group By.
Experience with Jupyter Notebook, Google Colab, or equivalent code editors.
Ability to work with REST APIs and manipulate data programmatically.
Familiarity with Git and GitHub for code versioning.
Experience with Docker for deploying code.

Responsibilities:

Data Preparation and Cleaning: Clean, structure, and prepare tabular data for analysis, including removing rows with empty values, performing feature engineering, and creating new features.
Predictive Analytics: Build and optimize predictive models using classic machine learning techniques.
Programming and Libraries: Use Python and libraries like NumPy, Pandas, Scikit-Learn, Matplotlib/Plotly, and SHAP for data analysis and visualization.
API Integration: Read API documentation and programmatically retrieve data using REST APIs (e.g., Python requests library).
SQL Expertise: Utilize advanced SQL concepts (e.g., Join, Group By) for data manipulation and transformation.
Code Versioning: Manage code versioning using Git and GitHub.
Code Deployment: Work with Docker for code deployment and scalability.
Collaborative Development: Utilize Jupyter Notebook, Google Colab, or equivalent for coding and data exploration.

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