Data Scientist, Investment Analytics

2 weeks ago

Johannesburg, Gauteng, South Africa Jellyfish Online Marketing Full time
Job title : Data Scientist, Investment Analytics - JohannesburgJob Location : Gauteng, JohannesburgDeadline : March 08, 2025Quick Recommended Links
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Job Description

  • Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients.
  • You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence

Your primary responsibilities will include:

  • Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
  • Dedicate time to explaining and promoting the use of data science methodologies such as Geo-based Incrementally. Experiments, Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
  • Develop, and implement predictive models to improve and improve media performance, customer experiences, revenue generation, and other outcomes.
  • Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
  • Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

Qualifications

  • Fluency in English.
  • Programming proficiency in Python and SQL.
  • 3+ years of experience in a data role.
  • Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
  • Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
  • Experience analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics, .
  • Familiarity with media measurement solutions, such as media mix modeling, incrementally, and attribution models.
  • You seek and implement solutions to improve and automate processes.
  • An understanding of machine learning concepts is great—hands-on experience is a bonus.
  • A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
  • Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.
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