ค้นหางานที่เกี่ยวข้องกับ ประสบการณ์5ปี

Key responsibilities:
• Interpret data, and analyze results using statistical methods
• Prepare and deliver business reports that effectively communicate trends, patterns, risks, and insights using data
• Research, design, and develop machine-learning/artificial-intelligence/computer-vision systems to address key business challenges 
• Perform data quality testing, validation, and assurance as a part of designing, and implementing scalable data solutions
• Support identification, triage, and remediation of data quality issues across the data and technology organizations
• Effectively manage and develop small data analytics teams
• Effectively engage and partner with team members across data analytics, technology development, and business strategy to drive outcomes and impact
• Ensure end user requirements of data solutions are effectively met
• Develop user friendly documentation to communicate the use and value of data solutions
• Identify and push forward process improvement opportunities and solutions
• Review and keep up to date with developments in the data analytics and ML fields
 
Education:
• B.S., M.S., or Ph.D. degree in Computer Science, Mathematics, Software Engineering, Physics, and/or Data Science
 
Relevant experience required:
• 5+ years hands-on experience with data mining, statistical analysis, distributed computing, data pipelining tools, and data health / monitoring frameworks
• Proficiency with one or more programming languages or data engineering frameworks, such as Python, SQL, Spark, Java, C++, TypeScript/JavaScript, or similar
• Proficiency with any of the major machine learning and computer vision frameworks preferred
• Hands-on experience on BI solutions (e.g. Tableau, Power BI, Qlik, Looker)
• Ability to work well with cross-disciplinary teams
• Strong numerical and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Communicate in English fluently

😆 Our Benefits:
· Free lunch every Tuesday and Friday
· WFH/WFA (Work From Home/Work From Anywhere)
· Group insurance
· Retirement savings fund
· Well-stocked Snack Bar with snacks and beverages
· Dress in your own style at work
· Annual vacation 15 days 
 
📍 Location: Gaysorn Tower, near BTS Chidlom