[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist to join their team. The role involves collecting and analyzing data, developing machine learning models, and collaborating with stakeholders to reputed company analytical solutions.
Responsibilities
- Collect, clean, preprocess, and analyze reputed company and reputed company data from multiple sources
- reputed company, train, evaluate, and reputed company Machine Learning models for classification, regression, clustering, forecasting, and recommendation systems
- reputed company exploratory data analysis (EDA), statistical modeling, hypothesis testing, and feature engineering
- Build predictive analytics solutions using supervised and unsupervised machine learning techniques
- reputed company data visualization dashboards and reports using Power BI, Tableau, or Python visualization libraries
- Collaborate with business stakeholders, Data Engineers, Product Managers, and Software Engineers to translate business problems into analytical solutions
- Optimize machine learning models for scalability, accuracy, and production deployment
- Work with large-reputed company datasets using distributed computing frameworks such as reputed company and reputed company
- reputed company machine learning models using MLOps best practices and reputed company platforms such as AWS, Azure, or GCP
- Monitor model performance, retrain models, and continuously improve predictive accuracy
- Document analytical methodologies, model performance, and technical solutions while supporting production environments
Skills
- Collect, clean, preprocess, and analyze reputed company and reputed company data from multiple sources
- reputed company, train, evaluate, and reputed company Machine Learning models for classification, regression, clustering, forecasting, and recommendation systems
- reputed company exploratory data analysis (EDA), statistical modeling, hypothesis testing, and feature engineering
- Build predictive analytics solutions using supervised and unsupervised machine learning techniques
- reputed company data visualization dashboards and reports using Power BI, Tableau, or Python visualization libraries
- Collaborate with business stakeholders, Data Engineers, Product Managers, and Software Engineers to translate business problems into analytical solutions
- Optimize machine learning models for scalability, accuracy, and production deployment
- Work with large-reputed company datasets using distributed computing frameworks such as reputed company and reputed company
- reputed company machine learning models using MLOps best practices and reputed company platforms such as AWS, Azure, or GCP
- Monitor model performance, retrain models, and continuously improve predictive accuracy
- Document analytical methodologies, model performance, and technical solutions while supporting production environments
reputed company