Data Scientist
Post : Data Scientist
Location: Bangkok, 10, TH
Company: ExxonMobil
Job Role Summary
Develop and implement business tools and processes by using technology / data / information driven analysis and business expertise to create knowledge from data and information, identify actionable insights, capture value and support data and system integrity.
Job Role Responsibilities
Business Data Scientist
• Responsible for opportunity identification and advance analytical solution development (individually /leveraging) as part of Chemical Data, Analytics and Systems Business Data Science team
• Collaborate 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 advance data/analytics strategy and roadmap activities
• Work closely with ExxonMobil IT team, vendors and other service providers to manage advance analytical services for Chemical 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 duties as assigned
Required Skills and Knowledge
• Bachelor’s or Master’s degree in Information Technology, Computer Engineering, Statistics or Science-based fields with strong academic background
• 2–3 years of relevant work experience is preferable
• Data Science / Data Modeling Expertise: good understanding / working knowledge of statistical analysis and modeling, machine learning, pattern recognition, data visualization
• Solid 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
• Fluency in English: TOEIC 800+, TOEFL iBT 98+, or IELTS 6.5+
• Strong analytical and problem solving skills
Job Segment: Scientific, Database, Engineer, ERP, SAP, Engineering, Technology
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