
Senior Intelligence Data Specialist – Advanced Forecasting Role
5 hours ago
This role involves working with advanced intelligence data to drive forecasting and strategic decision-making in the pharmaceutical sector.
The ideal candidate will possess a deep understanding of data science methodologies, including simulation model building principles, machine learning, and best practices.
Key skills and qualifications include:
- Deep knowledge of data science methods and tools, including simulation modeling, machine learning, and statistical forecasting techniques.
- Experience with agent-based simulation models using Anylogic (desirable).
- Simulation model expertise (desirable).
- Proficiency in statistical forecasting methods: ARIMA, THETA, Exponential Smoothing.
- Knowledge of machine learning-based forecasting: GBM, LightGBM, XGBoost, Linear Regression.
- Deep learning-based forecasting: DeepAR, NBEATS, LSTM, RNN.
- Hierarchical forecasting.
- Cross-validation techniques: rolling-window, expanding-window, K-fold, hold-out.
MLOps and LLM/GPT exposure are advantageous but not required.
This is a full-time contract position requiring 5-9 years of experience as a data scientist in industry.
A master's or bachelor's degree in statistics, economics, data sciences, engineering, or a quantitative field is necessary.
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