Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making
Job Summary
Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making.
Partner with leaders in various departments to identify business needs and deliver fit-for-purpose forecasts that drive tangible business value.
Stay updated with advancements in forecasting and AI, identify new opportunities for data science solutions, and influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics.
Matching Summary
Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making.
Skills & Requirements
Must-have
Advanced forecasting methodologies
Python, AWS, Azure, R, SQL, Hadoop, Spark
TensorFlow, Keras, PyTorch, Scikit-learn
Large-scale datasets analysis
MLOps and CI/CD practices
Deep learning techniques evaluation
Nice-to-have
Entrepreneurial drive
Industry-leading methods
Actionable business insights
Tangible business value delivery
Executive leader influence
Key Requirements
PhD in Statistics, Economics, Computer Science, Engineering or STEM
Hands-on experience in developing and deploying models
In-depth knowledge of forecasting methodologies
Ability to communicate complex ideas to non-technical stakeholders