Expectations

• B.S. or M.S. in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields.
• Excellent understanding of machine learning techniques/algorithms (Linear Regression, Time Series models, Logistic Regression, k-NN, SVM, Random Forests, etc.) and inferential statistics.
• Experience with common data science toolkits
• Capable of translating real-world manufacturing engineering problems into analytics formulations and interpreting analytics results with non-analytics business partners.
• Minimum of 2 years of professional experience with machine learning, statistical analysis, predictive modeling, and time series analysis
• Experience with data visualization
• Strong analytical and problem solving skills with a solid understanding of business

Job Description

• Identifying opportunities, defining problems, and establishing predictive analytics models, and delivering optimal solutions.
• Closely working with other business functions such as marketing, sales and operations in order to perform advanced analytics based on functional and business requirements
• Independent and team-oriented individuals with strong communication skills
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Selecting features, building and optimizing classifiers using machine learning models

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