Data Scientist (Snowflake exp. is must)

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 applicationsPerform statistical analysis, feature engineering, and exploratory data analysisWork with large-scale enterprise data from SAP, Salesforce, Workday, manufacturing, and operational systemsDevelop analytics applications and user-facing solutions using StreamlitPartner with business stakeholders to translate complex data into actionable insightsCollaborate with Data Engineering teams to support scalable analytics and AI solutions Must-Have Skills: 38 years of Data Science / Machine Learning experienceStrong Python and SQL expertiseHands-on experience with Machine Learning and Statistical ModelingExperience with forecasting, regression, classification, clustering, and predictive analyticsProficiency with Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorchExperience working with Snowflake or other modern 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 #DataScientist #MachineLearning #AI #Snowflake #Python #SQL #DataScienceJobs #Analytics #Streamlit #Forecasting #GenAI #RAG #Databricks #PySpark #CareerOpportunity 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 applicationsPerform statistical analysis, feature engineering, and exploratory data analysisWork with large-scale enterprise data from SAP, Salesforce, Workday, manufacturing, and operational systemsDevelop analytics applications and user-facing solutions using StreamlitPartner with business stakeholders to translate complex data into actionable insightsCollaborate with Data Engineering teams to support scalable analytics and AI solutions Must-Have Skills: 38 years of Data Science / Machine Learning experienceStrong Python and SQL expertiseHands-on experience with Machine Learning and Statistical ModelingExperience with forecasting, regression, classification, clustering, and predictive analyticsProficiency with Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorchExperience working with Snowflake or other modern 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 #DataScientist #MachineLearning #AI #Snowflake #Python #SQL #DataScienceJobs #Analytics #Streamlit #Forecasting #GenAI #RAG #Databricks #PySpark #CareerOpportunity