Senior Data Scientist
Salary: $50,000 – $62,000 per month
Skills
• Advanced Analytics, Machine Learning & Statistical Modelling
• Python, Spark, SQL & AWS Cloud Platform
• Big Data Processing, Model Productionisation & MLOps
• Data Visualisation, Stakeholder Management & AI/LLM Solutions
Responsibilities
• Translate unstructured commercial, customer and operations questions into quantitative problems, and deliver analytics that influence major business decisions.
• Provide advanced analytics support using machine learning, statistical modelling, optimisation and big data across commercial, customer lifecycle, revenue and operations domains.
• Advise on appropriate algorithms, data and platforms given available technology, latency, cost and operational constraints.
• Prototype, evaluate and iteratively optimise machine learning and advanced analytics solutions; monitor live performance and initiate corrective action when value decays.
• Partner with IT and platform teams to productionalise models on the AWS stack, including handover, monitoring and lifecycle management.
• Collaborate with stakeholders to implement solutions, influence adoption of insights, and contribute to a data-driven culture across Digital and the business.
• Explore emerging capabilities, including LLMs and AI agents, where they improve decision quality or speed without sacrificing robustness.
Qualifications/Requirements
• Master’s degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline. A strong Bachelor’s plus equivalent delivered impact will be considered.
• At least 6 years of experience in data science, with a proven track record of using large-scale data to drive measurable commercial or operational outcomes.
• Proficiency in Python and AWS is essential; strong Spark and SQL are required. Knowledge of visualisation tools such as Qlik, Power BI or Tableau is an advantage.
• Experience in productionalising analytics and machine learning solutions with engineering or IT partners.
• Strong analytical skills, with the ability to recommend algorithms and methodologies for complex, constrained business problems.
• Excellent communication skills to articulate ideas to stakeholders at all levels; Cantonese and English are an advantage in the Hong Kong operating environment.
• Ability to work independently and as part of a team in a fast-paced environment, and to learn and adapt to new technologies and processes.