Data Scientist - Integrated Analytics

Were Hiring: Data Scientist AI & Advanced Analytics Join a leading Global Manufacturing & Consumer Goods organization to build scalable AI, ML, and enterprise analytics solutions across R&D, Manufacturing, Supply Chain, and Commercial functions. Location: Chennai Experience: 38 Years Role Overview:- We are looking for a business-focused, platform-oriented Data Scientist who can work across Machine Learning, Snowflake, Enterprise Analytics, AI/GenAI, and stakeholder-driven business solutions delivering scalable, production-ready outcomes beyond traditional model development. Key Responsibilities:- Build and deploy ML & predictive analytics models for enterprise use cases Work extensively on Snowflake, Snowpark, and Cortex AI capabilities Develop interactive analytics applications using Streamlit Perform forecasting, clustering, regression, feature engineering, and statistical modeling Collaborate with Data Engineering and business teams to deliver scalable analytics solutions Translate insights into dashboards, recommendations, and business outcomes Must-Have Skills:- Strong experience in Data Science / Machine Learning Expertise in Snowflake, SQL, Snowpark, and analytics workflows Strong Python skills (pandas, NumPy, scikit-learn) Hands-on experience with Streamlit Good understanding of ML algorithms, forecasting, and statistical modeling Experience working with enterprise platforms like SAP / Salesforce / Workday Good to Have:- Exposure to Cortex AI, GenAI, RAG, vector search, and embeddings Experience with Power BI, dbt, Databricks, or MLOps tools Manufacturing / Supply Chain analytics exposure preferred Were Hiring: Data Scientist AI & Advanced Analytics Join a leading Global Manufacturing & Consumer Goods organization to build scalable AI, ML, and enterprise analytics solutions across R&D, Manufacturing, Supply Chain, and Commercial functions. Location: Chennai Experience: 38 Years Role Overview:- We are looking for a business-focused, platform-oriented Data Scientist who can work across Machine Learning, Snowflake, Enterprise Analytics, AI/GenAI, and stakeholder-driven business solutions delivering scalable, production-ready outcomes beyond traditional model development. Key Responsibilities:- Build and deploy ML & predictive analytics models for enterprise use cases Work extensively on Snowflake, Snowpark, and Cortex AI capabilities Develop interactive analytics applications using Streamlit Perform forecasting, clustering, regression, feature engineering, and statistical modeling Collaborate with Data Engineering and business teams to deliver scalable analytics solutions Translate insights into dashboards, recommendations, and business outcomes Must-Have Skills:- Strong experience in Data Science / Machine Learning Expertise in Snowflake, SQL, Snowpark, and analytics workflows Strong Python skills (pandas, NumPy, scikit-learn) Hands-on experience with Streamlit Good understanding of ML algorithms, forecasting, and statistical modeling Experience working with enterprise platforms like SAP / Salesforce / Workday Good to Have:- Exposure to Cortex AI, GenAI, RAG, vector search, and embeddings Experience with Power BI, dbt, Databricks, or MLOps tools Manufacturing / Supply Chain analytics exposure preferred