Business Data Scientist
3 semanas atrás
**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 ANALYTICS COMPETENCIES**
- 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
**CORE COMPETENCIES**
- Leadership and influence
- Communications
- Team effectiveness
- Problem solving / decision making
- Presentation skills
Analytical thinking
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