Data Scientist- (Strong Python+Statistical Modeling)

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: • 3–8 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.