Senior Associate, Data Scientist (Advanced Modeling)

True Corporation Public Company Limited (Bangkok, 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 Senior Associate, Data Scientist (Advanced Modeling) will leverage data analysis and advanced modeling techniques to provide actionable insights and business opportunities, while collaborating with key stakeholders to drive execution performance.

Responsibilities

•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.

Requirements

•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.