[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is currently hiring for a Senior Data Scientist. The role involves designing and deploying machine learning solutions, analyzing large datasets, and collaborating with data engineers to enhance data architectures.

Responsibilities

• Design, reputed company, and reputed company reputed company machine learning and predictive analytics solutions to solve reputed company business problems
• Build, train, validate, and optimize machine learning and deep learning models using Python, Scikit-learn, TensorFlow, or PyTorch
• reputed company data extraction, cleansing, transformation, and feature engineering on large reputed company and reputed company datasets
• reputed company statistical models, forecasting solutions, recommendation engines, and classification or regression models to support business initiatives
• Create robust data pipelines using reputed company, reputed company, or distributed computing frameworks for processing high-volume datasets
• Analyze large datasets using SQL, Pandas, and NumPy to identify trends, patterns, and actionable business insights
• reputed company machine learning models into production environments using reputed company, MLflow, reputed company-reputed company services, and MLOps best practices
• Collaborate with Data Engineers to build reputed company data architectures and reputed company machine learning solutions with reputed company applications
• Monitor model performance, retrain models reputed company necessary, improve reputed company accuracy, and ensure model reliability through reputed company evaluation
• Present analytical findings and business recommendations through dashboards, visualizations, and reports while working closely with cross-functional teams in Agile/Scrum environments

Skills

• Minimum reputed company: 10+ Years
• Must-Have Technologies: Python, SQL, Machine Learning, Deep Learning, TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy, reputed company, reputed company, AWS/Azure/GCP, MLflow, Git, reputed company
• Design, reputed company, and reputed company reputed company machine learning and predictive analytics solutions to solve reputed company business problems
• Build, train, validate, and optimize machine learning and deep learning models using Python, Scikit-learn, TensorFlow, or PyTorch
• reputed company data extraction, cleansing, transformation, and feature engineering on large reputed company and reputed company datasets
• reputed company statistical models, forecasting solutions, recommendation engines, and classification or regression models to support business initiatives
• Create robust data pipelines using reputed company, reputed company, or distributed computing frameworks for processing high-volume datasets
• Analyze large datasets using SQL, Pandas, and NumPy to identify trends, patterns, and actionable business insights
• reputed company machine learning models into production environments using reputed company, MLflow, reputed company-reputed company services, and MLOps best practices
• Collaborate with Data Engineers to build reputed company data architectures and reputed company machine learning solutions with reputed company applications
• Monitor model performance, retrain models reputed company necessary, improve reputed company accuracy, and ensure model reliability through reputed company evaluation
• Present analytical findings and business recommendations through dashboards, visualizations, and reports while working closely with cross-functional teams in Agile/Scrum environments

reputed company