Job ref no.: LDS/CT2107 (CT3131296-01#0042)
Collinson International (Hong Kong) Limited

Lead Data Scientist

Collinson International (Hong Kong) Limited

The Lead Data Scientist will have hands-on responsibilities for delivering all aspects of the design, development and overall delivery of advanced analytics products including problem definition, data acquisition, data exploration and visualisation, feature engineering, experimenting with algorithms, machine learning, evaluating and comparing metrics, deploying models, iteratively improving the solution and building the tools for this process etc.

Example day to day activities include:

  • Working on all stages of projects (planning, development, quality control, production)
  • Design, build and ongoing maintenance of our strategic platform and tooling
  • Converting proof-of-concept projects to enterprise solutions
  • Exploring customer, transactional, pricing, text-based data
  • Producing machine learning models including supervised and unsupervised methods
  • Producing reports and presentations to communicate findings to stakeholders
  • Prototyping proof-of-concept idea
  • Assisting with managing our infrastructure in AWS
  • Architecting and executing solutions

 

Key responsibilities:

  • Support the drive for adoption of advanced analytics proposition across APAC
  • Contribute to roadmap of innovative items within advanced analytics space
  • Identify valuable consumer behaviour patterns and insights that may hide potential opportunities for commercial decisions
  • Map consumer needs to existing data proposition products and features and help sell/implement them
  • Proactively identify opportunities for upsell of advanced analytics to existing clients
  • Write scope of work documents for new projects and control scope throughout implementation
  • Assist with raising the bar for insightful storytelling in brand reviews and deep dives across existing clients
  • Motivate, guide and manage direct reports to build a highly engaged and productive team
  • Continuous development of client facing consultancy skills within the team
  • Foster transparency and visibility, need to ensure that a team’s progress, obstacles and successes are highly visible to relevant stakeholders, including the team itself through roadmaps

 

Knowledge:

  • Knowledge of common data science techniques including data preparation, exploration and visualisation
  • Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimisation and information retrieval
  • Ability to produce workflows using classification, clustering, regression, and dimensionality reduction
  • Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains

Core Skills:

  • Python and Pyspark
  • Data science background
  • Translating facts and figures into insightful data story telling with use of Powerpoint and visualisation tool such as Tableau or Plotly
  • Presenting complex concept in an easy-to-understand ways to both tech and non-tech audiences; excellent written and spoken English. Cantonese is a plus
  • Hands-on exposure to conducting and documenting the following: exploratory data analysis, feature engineering building machine learning models using any of the following: Collaborative filtering, NLP, TF-IDF, Decision trees, Regression etc.
  • Hands-on exposure to any of the following advanced analytics concepts based on machine learning would be an advantage: Segmentation/Clustering, Product or content recommendation engines, single customer view (Graph network) Churn analysis or any other forecasting and predictive models etc
  • Understanding of the data technology landscape, how to apply this to business problems and identify the limitations
  • SQL skills for deriving insights (MS SQL and Postgresql with case, count, group by, join etc.)
  • Excellent data preparation skills, manipulation of large data sets, analysis and visualisation of results
  • Data modelling skills; awareness of the appropriate application of de-normalisation, aggregation, warehousing and data lakes

Desirable Technical Skills:

  • AWS: EC2, RDS, EMR, Kinesis, S3
  • Cloud Providers: AWS (primary), GCP or Azure
  • Visualization & UI: Tableau, Plotly, Python Flask, Zeppelin
  • Apache : Atlas, Ranger, Knox, Nifi

Experience:

  • At least 4 years commercial analytics experience across at least one of the following disciplines: retail (shopping mall brands), financial services (neo banks or e-commerce), consumer loyalty, travel & hospitality
  • Experience building and deploying API
  • BSc degree (preferably Data Science or Computer Science)
  • Experience at working on high-profile, strategically important projects
  • Experience working with external vendors, remote teams in different time zones and agencies providing services for projects

Collinson is very fast paced, expects a lot from its people, and is entrepreneurial in culture. This also means that being able to handle change and operate in a less structured environment is core to being happy here. For this role, we are looking for someone who is:

  • Passionate about analysing, deriving insights and presenting them back to people
  • Commercially oriented
  • A creative, innovative person that likes getting stuck in and is keen to learn and grow
  • With strong character and presence - capable of handling and challenging tough and demanding clients and stakeholders in a respectful and productive manor
  • Able to work at pace while working through frequently changing priorities and challenges in a collegiate way
  • Always challenging ambiguity
  • Always challenging status quo
  • Collaborative and a strong team player with can-do attitude
  • Able to operate independently in a proactive manner to generate ideas and draw them out of others
  • Nimble, open-minded thinking, process advocate but committed to impact
  • Thorough and attentive to detail
  • Well planned and organised

 

Collinson offers attractive remuneration, benefit packages and excellent development and advancement opportunities. Benefit includes:

  • 15 to 18 days Annual Leave
  • Full Paid Leave (14 weeks Maternity / 5 days Paternity)
  • Referral Bonus
  • Free Priority Pass Membership (unlimited Airport Lounge access)

 

Please send full resume (MS word) with latest and expected salary by clicking Apply Now.

You may lose the chance of an interview if you don’t provide the above required information. (Please note that only those short-listed will receive a reply). Learn more about Collinson at https://www.collinsongroup.com/en.

More job information
Job ref no. LDS/CT2107 (CT3131296-01#0042)
Salary
Job Function
Industry
Location
  • Quarry Bay
Employment Term
  • Permanent
  • Full-time
Experience
  • 4 years - 8 years
Career Level
  • Middle management level
Education
  • Degree
Benefits
  • 5-day week
  • Dental plan
  • Discretionary bonus
  • Medical plan