Python and Machine Learning Programmer
Posted Updated
Description
Job Overview:
We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling.
Key Responsibilities:
Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis.
Machine Learning: Build, train, and optimize machine learning models for predictive analytics.
Algorithm Development: Implement data science algorithms and statistical models for problem-solving.
Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting.
Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau.
Database Management: Work with SQL and NoSQL databases for data retrieval and storage.
Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers.
Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.
We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling.
Key Responsibilities:
Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis.
Machine Learning: Build, train, and optimize machine learning models for predictive analytics.
Algorithm Development: Implement data science algorithms and statistical models for problem-solving.
Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting.
Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau.
Database Management: Work with SQL and NoSQL databases for data retrieval and storage.
Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers.
Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.