Data Scientist (Snowflake exp. is must) (Coimbatore)

Hiring: Data Scientist Integrated Analytics We are looking for a talented Data Scientist to join a global analytics team and drive impactful data science, machine learning, and AI initiatives across business functions including Manufacturing, Supply Chain, Commercial, R&D;, and Operations. Key Responsibilities: - Build and deploy predictive models, forecasting solutions, and machine learning applications - Perform statistical analysis, feature engineering, and exploratory data analysis - Work with large-scale enterprise data from SAP, Salesforce, Workday, manufacturing, and operational systems - Develop analytics applications and user-facing solutions using Streamlit - Partner with business stakeholders to translate complex data into actionable insights - Collaborate with Data Engineering teams to support scalable analytics and AI solutions Must-Have Skills: - 38 years of Data Science / Machine Learning experience - Strong Python and SQL expertise - Hands-on experience with Machine Learning and Statistical Modeling - Experience with forecasting, regression, classification, clustering, and predictive analytics - Proficiency with Scikit-Learn, XGBoost, LightGBM, Tensor Flow, or PyTorch - Experience working with Snowflake or other contemporary cloud data platforms Ideal Profile: We are seeking strong Data Scientists with a solid foundation in machine learning, statistics, predictive analytics, and business problem-solving. Experience with Snowflake is preferred, while exposure to Cortex AI capabilities is a plus but not a prerequisite. Interested candidates can share their updated resume or connect directly for more details. #Hiring #Data Scientist #Machine Learning #AI #Snowflake #Python #SQL #Data Science Jobs #Analytics #Streamlit #Forecasting #GenAI #RAG #Databricks #PySpark #Career Opportunity Hiring: Data Scientist Integrated Analytics We are looking for a talented Data Scientist to join a global analytics team and drive impactful data science, machine learning, and AI initiatives across business functions including Manufacturing, Supply Chain, Commercial, R&D;, and Operations. Key Responsibilities: - Build and deploy predictive models, forecasting solutions, and machine learning applications - Perform statistical analysis, feature engineering, and exploratory data analysis - Work with large-scale enterprise data from SAP, Salesforce, Workday, manufacturing, and operational systems - Develop analytics applications and user-facing solutions using Streamlit - Partner with business stakeholders to translate complex data into actionable insights - Collaborate with Data Engineering teams to support scalable analytics and AI solutions Must-Have Skills: - 38 years of Data Science / Machine Learning experience - Strong Python and SQL expertise - Hands-on experience with Machine Learning and Statistical Modeling - Experience with forecasting, regression, classification, clustering, and predictive analytics - Proficiency with Scikit-Learn, XGBoost, LightGBM, Tensor Flow, or PyTorch - Experience working with Snowflake or other contemporary cloud data platforms Ideal Profile: We are seeking strong Data Scientists with a solid foundation in machine learning, statistics, predictive analytics, and business problem-solving. Experience with Snowflake is preferred, while exposure to Cortex AI capabilities is a plus but not a prerequisite. Interested candidates can share their updated resume or connect directly for more details. #Hiring #Data Scientist #Machine Learning #AI #Snowflake #Python #SQL #Data Science Jobs #Analytics #Streamlit #Forecasting #GenAI #RAG #Databricks #PySpark #Career Opportunity