Job Scope:

• Analyze and cleaning of enterprise transaction data, extract and summarize information needed for various forecasting
• Find 3-party open data, discovery and summarize the information needed for various predictions
• Feature engineering, variable transformation, dependency analysis
• Feature ranking, selection, and filtering
• Long-term business forecasting using novel machine learning techniques
• Integrate the knowledge of domain expertise with forecasting results into business processes and assist stakeholders in making decisions

Qualifications:

• Masters or Ph.D. in Computer Science, Statistics, Industrial Engineering or a relevant quantitative discipline
• 3 years of practical experience in data analysis, statistical, and machine learning modelling
• Hands-on knowledge of data manipulation and modelling languages such as Python, Julia,
• Experience with data science tools such as Zeplin, Jupyter, pandas, scikit-learn, NLTK
• Experience with ML frameworks such as TensorFlow, Keras, PyTorch
• Good communication and collaboration skills to work with people from a variety of technical background

Bernice Mae Nocum Rallonza EA License No. 02C3423 Personnel Registration No. R1442141

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