Principal Accountabilities:

• Providing business opportunities or actionable insights through data analysis and advanced modeling from complex datasets.
• Strategically designing the application of advanced analytics in business by using design thinking methodologies, insights derived from AI/ML, advanced modeling, and establishing an execution plan in alignment with key stakeholders.
• Generating initiatives or new analytical ideas to enable new business opportunities.
• Being accountable for the successful delivery of advanced model initiatives/design to development, meeting agreed quality standards and business target agreements.
• Attracting a working team to generate useful learning and insights from applying advanced analytics & modeling to drive and improve execution performance.
• Performing large-scale data analysis and developing effective machine learning or statistical models, including segmentation, classification, pattern recognition, optimization, etc., on large and complex datasets.
• Developing, building, and testing statistical and computational models that serve as key inputs for real-time contextual marketing tools.
• Communicating findings and building buy-in with key stakeholders through data visualizations.
• Interacting and collaborating with product and marketing managers to provide impactful analysis and insights aligned with business objectives.
• Working closely with other BI functions and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for marketing campaigns.

Qualifications:

• M.S./Ph.D. in a quantitative field such as mathematics, statistics, data science, computer engineering, or a related field.
• 3+ years of experience in solving analytical problems using quantitative approaches.
• Excellent understanding of the fundamentals of statistics.
• Strong experimental design and analysis skills.
• Strong machine learning and deep learning techniques.
• Work experience in natural language processing (NLP) is a plus.
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analyses in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tools such as Python, R, SAS, SPSS, or Matlab.
• Experience in the Telecom industry is an advantage.
• Experience analyzing data from 3rd party providers such as Google Analytics, Facebook Insights, Adwords, etc., is an advantage.
• Good command of English.

Location: True Tower 1, Ratchadaphisek Rd.