Business Analytics, Data Analytics, Data science techniques, Effective communication skills, Forecasting, Machine learning techniques, MLOps tools, PowerBI, Pricing analytics, PySpark, Python Programming, PyTorch, R Programming, SQL
In this important role, you will employ implement advanced statistical and/or machine learning methodologies to maximize the forecasting accuracy in our models supporting global sales and inventory forecasts for thousands of products, distributors and resellers weekly. You will be involved in the design, development, training and validation of state of the art data science models (DeepAr, Transformers, Tree Based). You will be the central connection among Data Scientists, Data Engineers, MlOps and Stakeholders, ensuring that business needs are aligned with team efforts and focused on objectives.
Responsibilities:
Use R or Python to analyse and clean extensive datasets, ensuring actionable insights are extracted to optimize our algorithms.
Analyse and integrate various factors impacting inventory and supply chain decisions into data science models. (pricing, promotions, inflation, etc..)
Identify the best suited forecasting signals, as well as algorithms/models suited to the problem
Ensure there is no leakage, and address signals drift in the forecasting pipelines
Design, develop and validate the selected forecasting, backtesting and inference pipeline
Work with MlOps and engineers to ensure the scalability and efficiency of the forecasting pipeline
Monitor accuracy at scale across thousands of products and distributors
Run anomaly detection techniques to identify edge cases and areas of improvement
Run A/B testing to replace and deploy new ML models with higher accuracy and more robust to pattern changes
Basic Qualifications:
Strong proficiency with the design, development, and validation of advanced machine learning or statistical forecasting techniques in Python.
Strong knowledge regarding various industry standard and state of the art algorithms and models used in forecasting (DeepAr, Transformers, Neural Networks, Tree based algorithms, etc..)
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
The Hewlett-Packard Company, commonly shortened to Hewlett-Packard or HP, was an American multinational information technology company headquartered in Palo Alto, California, that developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses (SMBs) and large enterprises.
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