เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Chemical Engineering, Petrochemical, English

ประเภทงาน:

งานประจำ

• To perform research and analytical works on assigned study project(s) in the field of oil & gas, petrochemicals, and/or energy development sector.
• To coordinate with external parties and manage PTIT Task Forces and Standing Committees activities.
• To gather and disseminate information, and independently analyze data in support of a technical service/policy-related project undertaken by PTIT.
• To represent PTIT in any assigned meetings.
• To perform any other jobs as assigned by Executive Director.
• Required skills:
• Research, analytical and report-writing skills.
• English proficiency.
• Presentation, coordination and communication skills.
• IT proficiency (PowerPoint, Excel, Word, others).
• Positive attitude, hard-working, result-oriented.
• Multi-tasking and self-improvement ability.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.