Job Description

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