Data Scientist / Senior Data Scientist (Business Strategy and Analytics focus)

HKT

Hong Kong

On-site

HKD 450,000 - 800,000

Full time

14 days+

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Job summary

HKT’s Data Monetisation Team seeks a Data Scientist/Senior Data Scientist with a strong focus on business strategy to translate data into actionable insights and shape AI use cases that drive measurable growth. You will work closely with Sales and Marketing to define objectives, success metrics, and user needs, while serving as the data advocate in cross-functional discussions.

The role requires partnering with data scientists, defining KPIs, tracking performance, and delivering analytics

Qualifications

  • Bachelor's degree in data-related field; Master’s preferred.
  • 3+ years in data analytics or business analytics supporting data science/AI projects.
  • Strong hands-on SQL, BI tools (Tableau/Power BI), and large-scale data analysis.

Responsibilities

  • Lead data analysis and insight generation for data science and analytics projects.
  • Partner with data scientists to support use case development, model evaluation, and performance monitoring.
  • Define, track, and maintain business KPIs and operational indicators.
  • Translate complex data into clear insights for senior stakeholders.
  • Collaborate with cross-functional teams to gather requirements and deliver analytics solutions.
  • Prepare datasets and assist with model evaluation and monitoring.
  • Identify opportunities to improve customer, product, and business performance through data.

Skills

SQL
Tableau/Power BI
Data Analytics
Stakeholder Management

Education

Bachelor's in Data Science/Statistics/CS
Master's degree (a plus)

Job description

HKT’s Data Monetisation Team is looking for a highly capable Data Scientist / Senior Data Scientist with a strong focus on business strategy to support data science, digital experience, and growth initiatives. The successful candidate will work closely with Sales and Marketing teams to define business objectives, success measures, and user needs, while serving as the key data advocate in cross-functional discussions. This role is responsible for translating complex data into clear, actionable insights, shaping advanced analytics and AI use cases, and influencing strategic decisions that deliver measurable business outcomes.

Responsibilities
  • Lead data analysis and insight generation for data science and analytics projects.
  • Partner with data scientists to support use case development, exploratory analysis, model evaluation, and performance monitoring.
  • Perform deep-dive data analysis to uncover trends, patterns, customer behaviors, and business opportunities across digital channels and product journeys.
  • Define, track, and maintain business KPIs, success metrics, and operational performance indicators.
  • Translate complex data into clear insights and recommendations for business stakeholders.
  • Work with cross-functional teams to gather requirements, validate data quality, and deliver analytics solutions.
  • Support data science projects by preparing datasets, conducting exploratory data analysis, and assisting with model evaluation and performance monitoring.
  • Identify opportunities to improve customer, product, and business performance through data.
Requirements
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field; Master’s degree is a plus.
  • 3+ years of experience in data analytics, business analytics, or related roles, preferably supporting data science or AI projects from a business analytics perspective.
  • Strong hands‑on experience in SQL, Tableau/Power BI, and large-scale data analysis.
  • Solid understanding of statistics, experimentation, KPI design, and model performance analysis.
  • Strong stakeholder management and communication skills, with the ability to present insights clearly to senior management.
  • Proactive, detail-oriented, and able to lead multiple initiatives in a fast‑paced environment.
  • Take ownership of tasks assigned and have a positive “can-do” attitude
  • Team player
About the Data Monetisation Team at HKT

The Data Monetisation Team manages customer data at HKT and is responsible for transforming data into actionable insights that support business growth. We work closely with both internal business functions and external partners to deliver values to business by applying cutting edge AI and machine learning algorithms. We excel at delivering end-to-end solutions that embedded into processes seamlessly for our users.

We are a team of 40 strong data scientists and data engineers who believe in data. We are nurturing a data-driven decision-making culture in the entire organization by creating single source of truth and democratizing data for users at all levels in the organization.

We value ownership and encourage candid communication and feedback within the team. We challenge each other so that we can find the best solution to the problem. We enjoy learning from each other and solving real world problems.

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