Data Scientist

Job Summary: The role plays a Plays a crucial role in helping businesses make informed decisions by leveraging data & Advanced AI Solutions & will collaborate with stakeholders, design data models, create algorithms, and share meaningful insights to drive business success

Key Responsibilities- Data & Analytics

• Work with supply chain, manufacturing manager, warehouse managers, customer account managers and quality function to produce manufacturing schedules, solutions to improve existing processes
• Gathering and interpreting data from various sources.
• Cleaning and verifying the accuracy of data sets to ensure data integrity.
• Build and maintain data pipelines for collecting, preprocessing, and integrating diverse data sources for comprehensive analysis and actionable insights.
• Developing and implementing data collection systems and strategies to optimize efficiency and accuracy.
• Applying statistical techniques to analyse and interpret complex data sets.
• Develop and implement statistical models for predictive analysis.
• Build and deploy machine learning models to solve business problems.
• Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively.
• Develop dashboards and reports for ongoing monitoring and analysis.
• Create, modify and improve complex manufacturing schedule.
• Create scenario planning model for manufacturing.
• Develop manufacturing schedule adherence probability model.
• Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary.
• Staying up-to-date with industry trends and best practices in data analysis and reporting.

Ensuring compliance with data privacy and security regulations.

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Application Question(s):

• Do you have experience in - Model Integration : Integrate foundational models and retrieval-augmented generation (RAG)techniques ?
• Salary Range - 15 LPA - 25 LPA

Experience:

• Data Scientist: 3 years (Preferred)
• RAG: 2 years (Preferred)
• Time series forecasting: 2 years (Preferred)

Work Location: In person