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Lead Data Scientist
2 weeks ago
4 years of work experience with a bachelor’s degree or 4+ years of work experience with an Advanced degree (e.g. MTech, MSc, MBA)
(Preferred) master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research.
4+ 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.
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