AI Data Science

Greetings from LanceSoft

Location: Singapore

Onsite Setup

1 Year Extendable Contract Role

Role: Gen AI Data Science Direction

This role resides within American Express Enterprise Technology Services (ETS)- Technology Decision Science Center of Excellence

Responsibilities

Apply Generative AI technology to implement highly scalable solutions to solve real world problems.

Build solutions from collecting training data set, analyzing data, to modelling to validating, and to delivering production grade solutions at scale.

Drive both high level and detailed technical designs and conduct design reviews as needed

Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing and CI/CD tool integration.

Actively participate in business and technical discussions, and forums across Amex.

Qualifications:

Master's degree in computer science, Computer Engineering, Information systems, or related STEM fields.

2+ years full lifecycle machine learning application product development experience.

2+ years of experience in building and delivering sophisticated solutions, that leverage various AI solutions, machine learning algorithms, or technologies and are able to scale optimally.

B2C Market Mechanism Design Direction.

This role resides within American Express Enterprise Technology Services (ETS)- Technology Decision Service Center of Excellence

Design and optimize B2C market mechanisms, including pricing, incentives, matching, and allocation frameworks to drive customer engagement and business Growth.

Develop end-end solutions from problem formulation, data analysis, mechanism modelling and simulation to experimentation, validation and large-scale deployment.

Leverage economic theory, game theory and market design principles to create scalable, incentive compatible and efficient marketplace solutions.

Drive both high level economic framework design and detailed implementation strategies and conduct cross functional design reviews as needed.

Ensure robustness, fairness, and performance of deployed mechanisms, through continuous monitoring, experimentation (e.g A/B testing) and iterative optimization.

Actively participate in business and technical discussions and forums across Amex to align market designs strategies with enterprise objectives.

Qualifications

Master's or PhD Degree in Economics, Market Design, Game Theory, Operations Research or related quantitative fields.

1+ years of experience in mechanism design, pricing strategy, auction design, matching markets, or related B2C marketplace optimization domains.

1+ years of experience in developing and implementing data-driven economic models or algorithmic solutions that scale effectively in production environments.