Data Scientist (Consumer & Digital Analytics)

THE ADVERTISER| Date Posted: 5-Apr-2019
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Job Nature:
Position Level:
Masters / PhD

Job Description


  • Work closely with business units to understand their priorities on an ongoing basis.
  • Help define an analytical strategy to address the identified opportunities, covering analytical approaches, data requirements and technology requirements.
  • Work with various teams to plan, identify, collect and integrate data from multiple systems.
  • Automate workflows for feature engineering and model updating.
  • Develop machine learning models and perform statistical analysis to solve problems in the following domains: customer segmentation, acquisition and retention, cross-sell and up-sell propensity, recommender systems.
  • Perform A/B testing of prototypes on marketing campaigns.
  • Communicate with machine learning engineers to support the productionisation of prototypes. 
  • Communicate and present analytical findings and recommendations to senior management and key business stakeholders.

Qualification & Skills

  • Masters in Statistics, Mathematics, Computer Science, Operations Research, Physics, Economics, Data Analytics, or a related quantitative field.
  • Familiarity with consumer marketing, and with relevant industry experience in retail, consumer goods, ecommerce, technology, or consumer banking/insurance.
  • Good understanding of statistical analysis, data mining and machine learning.
  • Experience in working with large structured and unstructured data sets. Familiarity with streaming event data from web/app analytics is an advantage.
  • Prior exposure to web analytics tools like Google Analytics/GA 360/Adobe Catalyst, and knowledge of tag management and data layer setup in Martech/Adtech is an advantage.
  • Proficiency in at least two of the following languages/tools: R, Python, Spark, Scala, Hive, SQL.
  • Working knowledge of BI and visualisation tools like Tableau/Qlik/Power BI.
  • Team player who is able to build strong partnerships and collaborations.