Simulation Expert-Data Scientist
5 days ago
Role & responsibilities - Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills). - Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning. - Develop robust, data-driven models that incorporate market dynamics, patient behavior, and competitive intelligence to generate accurate and actionable forecasts. - Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning. - Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance. - Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value. - Maintain a strong understanding of the pharmaceutical landscape from financial operations to commercialization to provide objective, data-driven input into strategic decisions. - Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables. - Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach. - Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets. Preferred candidate profile: o Masters or Bachelor in Statistics, Economics, Data Sciences, Engineering, or quantitative related field. o Minimum of 5 years of working experience as a Data Scientist in industry. o Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices: o Point Forecasting and Probabilistic Forecasting. o Agent-based Simulation Model using Anylogic. o Any type of simulation model experience (Good to have). o Statistical Forecasting: ARIMA, THETA, Exponential Smoothing o ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression o DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN o Hierarchical Forecasting o Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out o MLOps is also good to have skills. o Exposure to LLM or GPT good to have skills.
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