Job
Description
Role Overview: As a Data Science + Python professional, your main responsibilities will include designing, developing, and maintaining data processing pipelines using Python, SQL, and PySpark. You will be involved in performing data cleaning, feature engineering, and exploratory data analysis (EDA) tasks. Additionally, you will build, train, and evaluate machine learning models with frameworks like scikit-learn and XGBoost. Developing REST APIs using Flask/FastAPI to integrate ML models with applications and working with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment will also be part of your role. You will write highly optimized Python code for data transformations and automation, implement data validation and quality checks, and collaborate with various teams to translate business requirements into technical solutions. Furthermore, you will develop interactive data visualizations and dashboards using tools like Power BI, Tableau, or Plotly, and support MLOps processes including model versioning, monitoring, and deployment. Key Responsibilities: - Design, develop, and maintain data processing pipelines using Python, SQL, and PySpark. - Perform data cleaning, feature engineering, and exploratory data analysis (EDA). - Build, train, and evaluate machine learning models using scikit-learn, XGBoost, or similar frameworks. - Develop REST APIs using Flask/FastAPI to integrate ML models with applications. - Work with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment. - Write highly optimized Python code for data transformations and automation. - Implement data validation, quality checks, and performance tuning of datasets. - Collaborate with data engineers, analysts, and product teams to translate business requirements into technical solutions. - Develop interactive data visualizations and dashboards (Power BI / Tableau / Plotly). - Support MLOps processes including model versioning, monitoring, and deployment. Qualifications Required: - Bachelor's Degree in a relevant field. - Proficiency in OOP. - Strong skills in Python and Python scripting. (Note: The additional details of the company were not provided in the job description.) Role Overview: As a Data Science + Python professional, your main responsibilities will include designing, developing, and maintaining data processing pipelines using Python, SQL, and PySpark. You will be involved in performing data cleaning, feature engineering, and exploratory data analysis (EDA) tasks. Additionally, you will build, train, and evaluate machine learning models with frameworks like scikit-learn and XGBoost. Developing REST APIs using Flask/FastAPI to integrate ML models with applications and working with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment will also be part of your role. You will write highly optimized Python code for data transformations and automation, implement data validation and quality checks, and collaborate with various teams to translate business requirements into technical solutions. Furthermore, you will develop interactive data visualizations and dashboards using tools like Power BI, Tableau, or Plotly, and support MLOps processes including model versioning, monitoring, and deployment. Key Responsibilities: - Design, develop, and maintain data processing pipelines using Python, SQL, and PySpark. - Perform data cleaning, feature engineering, and exploratory data analysis (EDA). - Build, train, and evaluate machine learning models using scikit-learn, XGBoost, or similar frameworks. - Develop REST APIs using Flask/FastAPI to integrate ML models with applications. - Work with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment. - Write highly optimized Python code for data transformations and automation. - Implement data validation, quality checks, and performance tuning of datasets. - Collaborate with data engineers, analysts, and product teams to translate business requirements into technical solutions. - Develop interactive data visualizations and dashboards (Power BI / Tableau / Plotly). - Support MLOps processes including model versioning, monitoring, and deployment. Qualifications Required: - Bachelor's Degree in a relevant field. - Proficiency in OOP. - Strong skills in Python and Python scripting. (Note: The additional details of the company were not provided in the job description.)
