Senior Data Scientist
4 weeks ago
- 4-6 years of work experience with a bachelor’s degree or 3+ 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.
- 4-6 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.
- (Mandatory) 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, Power BI Jupyter/Anaconda. Exploring data & writing analytics algorithms in Python.
- (Preferred) Working knowledge of MS Azure Suite - Azure ML Studio, Azure Data Factory,
- 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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