Data Scientist

You will be working as a Data Scientist at Jubilant Ingrevia Limited located in Noida. Your role will be crucial in helping businesses make informed decisions by leveraging data. You will collaborate with stakeholders, design data models, create algorithms, and share meaningful insights to drive business success. **Key Responsibilities:** - Work with supply chain, manufacturing, sales managers, customer account managers, and quality function to produce algorithms. - Gather and interpret data from various sources. - Clean and verify the accuracy of data sets to ensure data integrity. - Develop and implement data collection systems and strategies to optimize efficiency and accuracy. - Apply statistical techniques to analyze and interpret complex data sets. - Develop and implement statistical models for predictive analysis. - Build and deploy machine learning models to solve business problems. - Create 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 schedules. - Create scenario planning models for manufacturing and develop manufacturing schedule adherence probability models. - Regularly monitor and evaluate data quality, making recommendations for improvements as necessary, ensuring compliance with data privacy and security regulations. **Person Profile:** - **Qualification:** B.E/M.Sc Maths/Statistics. - **Experience:** 2-5 years. **Desired Skills & Must Have:** - 2-5 years of relevant experience in the chemical/manufacturing industry. - Hands-on experience in Generative AI. - Exposure to Agentic AI. - Proficiency in data analysis tools such as Microsoft Excel, SQL, and statistical software (e.g., R or Python). - Proficiency in programming languages such as Python or R. - Expertise in statistical analysis, machine learning algorithms, and data manipulation. - Strong analytical and problem-solving skills with the ability to handle complex data sets. - Excellent attention to detail and a high level of accuracy in data analysis. - Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI. - Strong communication skills to present findings and insights to non-technical stakeholders effectively. - Knowledge of statistical methodologies and techniques, including regression analysis, clustering, and hypothesis testing. - Familiarity with data modeling and database management concepts. - Experience in manipulating and cleansing large data sets. - Ability to work collaboratively in a team environment and adapt to changing priorities. - Experience with big data technologies (e.g., Hadoop, Spark). - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). ,