Senior Manager Data Analytics / Data Scientist / Senior Manager Data Analytics Strategy Senior Manager Data Analytics / Data Scientist /  …

Aim Higher
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Be the first to apply
700K to HK$1 million
Aim Higher
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Be the first to apply
700K to HK$1 million
1. A mainboard listed company 2. Continue to expand their footprint in Asia 3. Strategic position

Company Description

Our client is a Hong Kong mainboard listed company. Continue with their business expansion plan in the Great China region, they are looking for an experienced Data Scientist to join the Company. 


  • Act as a lead data strategist to work with data stakeholders in identifying opportunities for leveraging corporate data, strategizing and driving data-driven solutions to meet business goals
  • Identify and collect large datasets from different data sources
  • Explore innovative ways for data integration to enforce good governance on data management and regulatory compliance
  • Devise & tune algorithms and machine learning models to mine big data stores; perform data and error analysis; clean nd validate data for uniformity and accuracy
  • Execute analytical experiments methodically to identify business opportunities, perform market and competitive analysis and solve various problems
  • Utilize data visualizations to present findings and insights that can create business impact
  • Implement analytical models into production by collaborating with software developers and machine learning engineers


  • Postgraduate degree in Statistics, Computer Science, Data Science or related disciplines
  • Minimum of 10 years of solid experience in data analytics and with at least 5 years in data science prefer gained from financial industry.
  • Solid experience of key machine learning and deep learning framework, e.g. Tensor flow, Caffe, CNTK, etc.
  • Solid experience in key machine learning and big data cloud platform, e.g. Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML and BigQuery, etc.
  • Experience in common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark, Keras, etc., to manipulate data and draw insights from large data sets is desirable
  • Experience in data architectures
  • Experience in data visualization BI tools, such as Tableau, PowerBI, Cognos, etc.
  • With passion, positive attitude and good business acumen

Interested parties please send your updated resume in WORD format with current and expected salaries (quoting Employer Ref:) to