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Senior Data Science Strategist for AI-Driven Inventory Optimization
hace 1 mes
Company Overview
Hewlett Packard Enterprise is a leader in the technology industry, and we are seeking a skilled Senior Data Science Strategist to join our team.
Job Summary
We invite applications for a motivated and talented Senior Data Science Strategist to drive AI-driven inventory optimization strategies across our global sales and inventory forecasts.
About the Role
In this critical position, you will implement advanced statistical and machine learning methodologies to maximize forecasting accuracy. You will be responsible for designing, developing, and validating state-of-the-art data science models to support global sales and inventory forecasts.
You will work closely with cross-functional teams, including data scientists, data engineers, and stakeholders, to ensure business needs are aligned with team efforts and focused on objectives.
Responsibilities
- Analyze and clean extensive datasets using R or Python to extract actionable insights and optimize algorithms.
- Integrate various factors impacting inventory and supply chain decisions into data science models, including pricing, promotions, inflation, and other relevant factors.
- Identify the best-suited forecasting signals and algorithms/models suited to the problem.
- 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
- Working experience in Data Analytics or Data Science.
- Proven track record of success leading data science and/or data analytics teams.
- PhD degree in Business Analytics, Statistics, or related field is a must.
- Experience with Pyspark is a must.
- Experience with Pytorch or Keras is a must.
- Experience in Supply Chain, Inventory Management, or Distribution networks is a strong plus.
- Experience with Git and cloud-based notebooks is a plus.
- Proficiency in SQL, PowerBI is a plus.
Estimated Salary: $150,000 - $200,000 per annum, depending on location and experience.
Benefits
We offer a comprehensive benefits package, including health insurance, retirement savings, and paid time off.
