Key Responsibilities:

• Understand and define ML model problems to support the organization’s strategy, addressing the needs of various business units.
• Develop complex data structures for model development and business unit use.
• Analyze complex data using data tools and build analytics to solve business challenges.
• Conduct visual data investigations using BI tools like Tableau or PowerBI.

Qualifications:

• Bachelor's degree in Industrial Engineering, Economics, Statistics, Computer Science, or Mathematics.
• 3+ years of experience as a Data Scientist.
• Proven expertise in writing complex SQL queries for large databases.
• Proficiency in Python and familiarity with libraries like Pandas, Numpy, sklearn, Seaborn, and Matplotlib.
• Experience with models such as Boosting, Random Forest, GLM, Regression, Clustering, PCA, and SVM.
• Experience with AWS and cloud environments (Azure, Google Cloud is a plus).
• Strong analytical and technical skills.