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Apple ML Manager - Operations Business Process Reengineering Advanced Analytics 
China, Beijing, Beijing 
114137542

29.06.2024
Description
- Implement data science pipelines and applications in a general programming language such as Python, Scala, Java or C++- Design and develop Machine Learning based models to solve complex supply chain problems, with a focus on predictive analytics and forecasting- Build large scale execution models in ambiguous environments- Determine essential tradeoffs within the models and take an active role in clearly communicating the recommendations to senior management
Key Qualifications
  • 12+ years of experience with 5+ years managing and leading a team of data engineering and machine learning scientists
  • Strong partner - invested in the collective success of the team and project outcomes along with developing the talent within the team
  • Current or prior hands on experience in developing end to end solutions for predictive analytics, forecasting, decisioning and automation (ML Ops)
  • Practical experience solving real world problems and understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Experience in the field of univariate, multi variate and forecasting models in general
  • Familiarity with cloud database technologies like AWS, Snowflake, Singlestore etc.
  • Excellent software architecture and design skills
  • Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.
  • Innate curiosity and bias to action with expert ability to identify, define and implement project plans and develop modeling approaches suitable for the problem
  • Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity
  • Experience prototyping and developing software in programming languages (Java/C++/Python/Perl)
Education & Experience
BTech in Computer Science or IT / MBA from a premier school
Additional Requirements
  • - Supply chain operations planning and material management experience and/or prior role in supporting supply chain business processes preferred
  • - Experience with large data sets, Big Data and analytics
  • - Strong communication and presentation skills