
Senior Data Professional
2 days ago
We are seeking an experienced senior data professional to lead our forecasting initiatives in the pharma industry.
Job Overview:
This is a unique opportunity for a talented data scientist to develop and implement machine learning models using various techniques, including point forecasting, probabilistic forecasting, and statistical forecasting methods.
Key Responsibilities:
- Design and build simulation models using Anylogic and other relevant tools
- Develop and deploy machine learning models using GBM, LightGBM, XGBoost, Linear Regression, DeepAR, NBEATS, LSTM, RNN, and Hierarchical Forecasting
- Collaborate with stakeholders to understand business needs and develop data-driven solutions
- Maintain and improve existing models and processes
Requirements:
- Bachelor's or Master's degree in Statistics, Economics, Data Sciences, Engineering, or quantitative related field
- Minimum 5-9 years of experience as a data professional in industry
- Strong knowledge of data science methods and tools, including simulation model building principles, machine learning, and best practices
- Experience with Anylogic and other simulation model tools is highly desirable
- Excellent communication and collaboration skills
What We Offer:
- A competitive salary package
- Opportunities for growth and professional development
- A dynamic and supportive work environment
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