Ecolab - Senior Data Scientist - Statistical Modeling (7-8 yrs)

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