Senior Leader, Advanced Modeling (Data Scientist)

True Corporation Public Company Limited (Bangkok City, Thailand)

Bangkok, Thailand

True Corporation Public Company Limited was created from the merger of two Thai organizations with solid foundations: True Corporation Public Company Limited and Total Access Communication Public Company Limited. There is a strong commitment to serving all Thai people and new customers in the region by upgrading networks and digital services to improve quality of life, and sustainable living, and create opportunities for inclusive prosperity. Telecom-Tech Company under the name of True Corporation Public Company Limited, we aims to develop various services to connect consumers and Thai businesses to become a force to drive Thailand’s digital economy. Both businesses and consumers will benefit from the new company’s potential that helps attract world-class talented people including investing in infrastructure and startups. The combined potential of the new company will help drive Thailand’s digital agenda forward in leaps and bounds towards becoming a regional technology center that is also recognized globally. From developing and creating new services that had never happened before, such as telemedicine, virtual world technology, including AV and VR, smart cars, and smart homes, we will foster an environment ripe for innovation across various sectors. This integration of cutting-edge technology into everyday life will not just revolutionize convenience but also enhance accessibility and efficiency in numerous aspects. It's a journey into the future where the boundaries between the physical and digital realms blur, offering unprecedented opportunities for progress and transformation in Thailand's technological landscape.

About this position

The Leader of Advanced Modeling will be responsible for leading the Advanced Modeling team to deliver analytical models, statistical models, or machine learning solutions to identify business opportunities or resolve business challenges. This role involves close collaboration with business units (such as marketing, sales, product teams), data engineers, and BI teams to shape data science products and solutions.

Responsibilities

• Lead, manage, and coach the team to deliver outcomes efficiently and in a timely manner.
• Strategically design and apply advanced analytics in business using design thinking methodologies, AI/ML insights, and advanced modeling, establishing execution roadmaps and alignment with key stakeholders.
• Generate new analytical ideas and initiatives to enable business opportunities.
• Ensure the successful delivery of advanced model initiatives/designs to development, meeting agreed quality and business targets.
• Attract and lead a team to generate useful insights from advanced analytics and modeling to drive and improve execution performance.
• Perform large-scale data analysis and develop effective machine learning or statistical models, segmentation, classification, pattern recognition, optimization, etc., on large and complex data sets.
• Develop, build, and test statistical and computational models that serve as key inputs for real-time contextual marketing tools.
• Identify business opportunities, actionable insights, and suggest recommendations for data-driven marketing campaigns.
• Collaborate and establish trust-based relationships with stakeholders to provide impactful analysis and insights that align with business objectives.
• Work 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.

Requirements

• M.S./Ph.D. in a quantitative field such as Mathematics, Statistics, Data Science, Computer Engineering, or a related field.
• At least 5 years of professional experience in analytical or modeling areas or related fields in a mid-senior management role.
• Excellent analytical skills, with an understanding of the fundamentals of statistics and experimental design.
• Deep understanding of statistical modeling, predictive modeling, propensity models, and machine-learning algorithms and deep learning techniques.
• Full stack experience in data understanding, collection, aggregation, analysis, visualization, productionization, and monitoring of ML products.
• Experience in data engineering, working with big data technology (Spark), and cloud platforms such as AWS, Azure, or GCP is a plus.
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases, as well as analysis tools such as R, SAS, Python, or Matlab.
• Experience in the Telecom industry is an advantage.
• Experience analyzing data from 3rd party providers.