Ecolab - Senior Data Scientist - Statistical Modeling

Responsibilities : - Leverage data science and machine learning technology to build algorithms, statistical models and analytical solutions - Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes - Build ETL pipelines in PySpark/Python that process transaction and account level data and standardize data fields across various data sources - Organize and manage multiple data science projects with diverse cross-functional stakeholders - Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools. - Design & implement interactive dashboards and reports. - Build visualizations of data model performance and results. - Actively engage, network, collaborate with internal teams to deliver data driven solutions. - Provide technical leadership in a team that generates business insights based on applied analytics. Identify actionable recommendations. - Communicate the findings to business seniors. Pre-Requisites for candidates : - 7 years of work experience with a Bachelor's Degree or 8 years of work experience with an Advanced degree (e.g. MTech, MSc, MBA) or 6 years of work experience with a PhD degree - (Preferred) Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research. - 6 years of experience in data-based decision-making, quantitative analysis, & experience applying data science to solve problems such as new customer acquisition, attrition management and product mix models - Expertise in the following activities: Large scale data mining, data cleansing, diagnostics, preparation for Modeling. - Predictive modeling and machine learning. - Multivariate techniques & predictive modeling - cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis. - Building data analytics models using Python, ML libraries, Jupyter/Anaconda. - Exploring data & writing analytics algorithms in Python. - Working knowledge of MS Azure Suite - Azure ML Studio, Azure Data Factory, Power BI/Power Apps - Experience leading other data scientists in machine learning projects - Strong verbal, writing & presentation skills - Experienced in handling multi-national projects and team engagements - (Preferred) Application of data analytics to manufacturing industries or chemical industries (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/15/2024