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Data Scientist (Applied Science), Infra Supply Chain Responsibilities:
- Form close collaborative relationships with business leaders and heavily influence supply chain strategy by identifying data science opportunities, actively prioritize and align with supply chain experts.
- Identify appropriate quantitative methods and build relevant data sets to address challenges within demand and supply planning, capacity modeling, manufacturing quality, fulfillment simulations, and inventory optimization
- Develop statistical and machine learning solutions end-to-end through the full life cycle of prototyping, testing, evaluating, deploying.
- Design, develop, and own algorithms and models, while partnering with application managers and software engineers to implement features into supply chain applications.
- Influencing supply chain strategy with gained research, insights, and scenario modeling.
- Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic supply chain considerations.
Minimum Qualifications:
- Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular supply chain needs.
- 8+ years of experience in building analytics using Python, R, API integration, and Web Services.
- 8+ years experience applying Operations Research (LP, IP, MILP) and Machine Learning & Statistical concepts (e.g. Monte Carlo Simulations, Anomaly Detection, Forecasting, Bootstrapping, Hypothesis Testing, Supervised Learning, Cluster Analysis)
- Experience with Hive and MySQL
- Experience in leading cross-functional projects
- Experience communicating machine learning solutions to all organizational levels
Preferred Qualifications:
- PhD or Master degree in Industrial Engineering, Operations Research, Operations Management, Statistics, Computer Science or other related technical field
- Expert with operations research techniques and statistical approach
- Technical knowledge of supply chains models and/or data center operations
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