Data Scientist

Job Responsibilities

• Individuals will be responsible for leveraging their expertise in data analysis, statistical modeling, and machine learning to extract valuable insights from data
• Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL.
•  Develop solutions using Machine Learning and Generative AI
• Develop and apply statistical models to gain insights and make predictions based on historical data.
• Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc.
• Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization.
• Deploy machine learning models into production systems and make necessary updates or improvements.
• Ensure data privacy and compliance with relevant regulations
• Documentation of analytical methods, data pipelines, and model workflows

Key skills you will require:

Primary Skills

• Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL.
• Develop solutions using Machine Learning and Generative AI
• Develop and apply statistical models to gain insights and make predictions based on historical data.
• Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc.
• Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization.
•  Deploy machine learning models into production systems and make necessary updates or improvements.
• Ensure data privacy and compliance with relevant regulations
• Documentation of analytical methods, data pipelines, and model workflows