Data Scientist Marketing

 

Recruiter:

Energy At Work

Job Ref:

2961246318

Date posted:

Thursday, March 17, 2022

Location:

Johannesburg, South Africa


SUMMARY:
-

JOB DESCRIPTION:

A digitally smart bank is looking to employ a Data Scientist Marketing

The Data Scientist will bring together data driven marketing strategy that is being
expanded across a number of new products about to be rolled out, where we as
Bank will use internal, partner, channel and social media data to form a single
holistic view of a customer

Key Responsibilities:

  • Build the machine learning models needed to predict customer preferences as
    well as expected behaviour, with customer segmentation models also needed
  • Track and Monitor marketing campaigns to ensure they are performing
    optimally.
  • Engage with numerous teams across the organization to ensure they are
    empowered by having processes automated through AI and ML robotics.
  • Building machine learning models for various use cases across the
    organization to predict and automate human behaviour.
  • Live your passion for data. Pull your own data, structuring it, cleaning it,
    understanding the human and financial behaviours it represents.
  • Use research and insight to drive cultural change within the organisation and
    ensure stakeholders put consumers at the heart of their planning and strategic
    thinking.
  • Lead the design, development and implementation of automation solutions that
    meet business objectives
  • Collaborate with internal teams to drive continuous improvement in processes
    and services
  • Interpret and analyse data from multiple sources, providing key analytics.
  • Pro-actively provide actionable recommendations based on analysis results
    across various stakeholders and teams.
  • Thinks strategically and communicates creatively to inform and drive the
    decision making of stakeholders

Qualification/s Required:

  • Masters or Bachelors degree in any field with advanced quantitative focus or
    with high distinction in modelling oriented discipline including but not limited to:
    Psychometrics, Statistics, Mathematics, Physics, Chemistry, Biology,
    Econometrics, Engineering, etc

 

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