Job description

Position Objectives

  • Embedded Chemical DAS Business Data Science resource , responsible for opportunity identification and advance analytical solution development (individually /leveraging)
  • Collaborates with stakeholders to determine data collection needs and appropriate data resources for specific projects or initiatives
  • Responsible for development, deployment and sustainment of advance analytical algorithm and data model
  • Contribute to the advance data/analytics strategy and roadmap activities
  • Work closely with EMIT, vendors and other service providers to manage advance analytical services for EMCC business needs
  • Evaluate and recommend other database & analytics technologies – cloud technologies, machine learning, artificial intelligence, BI tools, connectors, and accelerators.
  • Participate in special projects and performs other administrative duties as assigned


  • Data Science / Data Modeling Expertise: good understanding / general working knowledge of statistical analysis and modeling, machine learning, pattern recognition, data visualization
  • Analytical tool knowledge (Python, Nummy, Pandas, Scikit-learn, NLP, SAP Data, SalesForce, Azure, Snowflake, Databricks etc.)

Business Domain Knowledge: General understanding of Chemical business processes, external market trends and impacts of new analytics technologies


  • Leadership and influence
  • Communications
  • Team effectiveness
  • Problem solving / decision making
  • Presentation skills

Analytical thinking

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