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

Job Description

Hiring: Data Scientist Integrated AnalyticsWe 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 solutionsMust-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 platformsIdeal 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 AnalyticsWe 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 solutionsMust-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 platformsIdeal 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

Keyskills :
Data ScienceMachine LearningPythonSQLStatistical ModelingForecastingRegressionClassificationClustering