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Data Scientist
atGosoft (Thailand) Co., Ltd.ตำแหน่งงาน : Data Scientist
บริษัท โกซอฟท์ (ประเทศไทย) จำกัด
ลักษณะงาน
- Develop analytical model to predict/forecast customer behaviors to meet business requirements and drive business growth.
- Identify and findings business opportunities from big data via data analytic method.
- Advise and recommend about data insights to business users.
- Develop Machine learning, Deep learning and AI algorithm to solve business case or problem.
- Communicate and provide solution to management level via data visualizations, presentations.
- Supervise and recommend vendors practices & performance align with policy and standard.
ประเภทงาน
เทคโนโลยีสารสนเทศ
สถานที่ทำงาน
ไม่ระบุ
การศึกษา
- Bachelor Degree or above in Computer Science, Computer Engineering, Information Technology, MIS, Statistics or related field.
คุณสมบัติ
- At least 3 years experience in Big data, data analytic or related field.
- Knowledge in Big data tools/technologies.
- Knowledge in data visualization.
- Skills in computer language (SQL, R, Python), Big data technologies (Hadoop, Spark)
- Knowledge in retail business is a plus.
- Excellent problem solving and analytical skill, planning and organizing skill, and customer oriented.
- Can work under pressure, strong communication & negotiation skill, self-learning, self-motivate.
- Strong/Excellent in English skills (Listening, Speaking, Reading, Writing)
เพศ
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ตำแหน่งData Scientist
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ข้อความ
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Salary
- Negotiable
Job type
- Full-time
Company overview
Gosoft (Thailand) Co., Ltd. “ Taking Care of Your Business ” Gosoft (Thailand) Co., Ltd. is a company under the umbrella of CP ALL Public Company Limited. The company was founded on January 1, 2003 by a leading IT Organization with diverse experience within the software industry . As a result, g ... Read more
Why join us: Our software engineering processes are performed in line with the requirements of ITIL, CMMi (Capability Maturity Model integration), and ISO/IEC 27001:2013, an international standard aimed at maturing people, process and technology assets to improve long-term business performance, as set forth by t ... Read more
Benefits
- Provident fund
- Professional development
- Flexible working hours
- Five-day work week
- Life Insurance
- Social Security
- Accident Insurance
- Health Insurance
- Job training
- Performance bonus
- Annual bonus
- Learning & Development Opportunities