Statistical Analyst

Global Sports Jobs Limited

Hong Kong

On-site

HKD 420,000 - 700,000

Full time

14 days+
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Benefits offered by this job

Competitive salary and benefits
Dynamic working environment
Development opportunities

Job summary

Global Sports Jobs Limited in Hong Kong seeks a data analytics professional to join the Racing Wagering Product Strategy and Marketing Department. You will explore racing-related data, build statistical models and generate insights to support new initiatives and partnerships.

Responsibilities include hypothesis testing, developing data models and Gen AI applications for structured and unstructured data, and delivering regular analytic reports. Fluent English and Chinese are required.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Science, Engineering, Economics, Physics or Machine Learning.
  • Strong interest in numbers and accuracy.
  • Ability to deliver statistical models and run forecasting in a statistical environment.
  • Self-motivated with a strong critical and analytical mind.
  • Excellent written (English and Chinese) and verbal communication skills.
  • Proficiency in R, SQL, experimental design, machine learning, response surface methodology, statistical graphics, stochastic processes and Python.

Responsibilities

  • Work with internal stakeholders to explore and understand racing-related data.
  • Formulate and test hypotheses to evaluate business strategies and measure their impact.
  • Stay up to date with the latest technologies in modelling and algorithms in order to design scientific tests that maximise spending on new initiatives, products and marketing strategy.
  • Assist in the development of custom data models, machine learning algorithms and Gen AI products applied to both structured and unstructured data.
  • Generate regular data analysis reports.
  • Undertake other duties as assigned by the line manager.

Skills

Machine learning
Experimental design
Statistical graphics
Forecasting
Statistical analysis

Education

Bachelor's or Master's degree in Computer Science / Statistics / Mathematics / Science / Engineering / Economics / Physics / Machine Learning

Tools

R
SQL
Python

Job description

About the Role

The role sits within the Racing Wagering Product Strategy and Marketing Department, part of the Sports Business Division. The Department is responsible for wagering product strategy in support of the Club's business plans, including the optimisation of existing wagering products and the discovery of new ones for Hong Kong and overseas, and acts as data strategy owner from the product perspective across apps, customer touchpoints and external and international partners. The job holder conducts exploratory data analysis and applies machine learning algorithms to identify trends and patterns, generating meaningful business insights from massive datasets.

Key Responsibilities
  • Work with internal stakeholders to explore and understand racing-related data.
  • Formulate and test hypotheses to evaluate business strategies and measure their impact.
  • Stay up to date with the latest technologies in modelling and algorithms in order to design scientific tests that maximise spending on new initiatives, products and marketing strategy.
  • Assist in the development of custom data models, machine learning algorithms and Gen AI products applied to both structured and unstructured data.
  • Generate regular data analysis reports.
  • Undertake other duties as assigned by the line manager.
Required Experience & Qualifications
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Science, Engineering, Economics, Physics or Machine Learning.
  • Strong interest in numbers and accuracy.
  • Ability to deliver statistical models and run forecasting in a statistical environment.
  • Self-motivated with a strong critical and analytical mind.
  • Excellent written (English and Chinese) and verbal communication skills.
  • Proficiency in R, SQL, experimental design, machine learning, response surface methodology, statistical graphics, stochastic processes and Python.
Benefits & Perks
  • Competitive salary and benefits package.
  • Dynamic working environment.
  • Development opportunities.
About the Company

We are an equal opportunity employer and strive to create an inclusive workplace for all, and applicants from diverse backgrounds are welcomed.

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