Data Scientist

As a Data Scientist at our company, you will be joining a global analytics team to drive impactful data science, machine learning, and AI initiatives across various business functions such as 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, TensorFlow, or PyTorch - Experience 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. If you are interested in this opportunity, you can share your updated resume or connect directly for more details. As a Data Scientist at our company, you will be joining a global analytics team to drive impactful data science, machine learning, and AI initiatives across various business functions such as 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, TensorFlow, or PyTorch - Experience 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. If you are interested in this opportunity, you can share your updated resume or connect directly for more details.