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Data Scientist; Marketing Department

Job in Cape Town, 7100, South Africa
Listing for: BigTalent
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Data Scientist (Marketing Department)

About the job Data Scientist (Marketing Department)

Position Title: Data Scientist
Location: Cape Town

Ready to turn complex data into game-changing strategies? Apply now and be part of a team where data fuels innovation and drives success!

Introduction:
Are you passionate about transforming data into powerful business insights? Our client is looking for a Data Scientist to drive data-driven decision-making, optimize marketing strategies, and develop predictive models that enhance customer engagement. If you're an analytical thinker with a knack for problem-solving, this role is your opportunity to make a real impact!

Duties and Responsibilities:

  • Develop predictive models to forecast customer behavior and improve marketing effectiveness.
  • Extract and analyze data to provide actionable insights for customer targeting and segmentation.
  • Identify new data sources and refine collection methods to drive strategic innovation.
  • Collaborate with cross-functional teams to implement data-driven marketing strategies.
  • Mentor and guide data analysts transitioning into data science roles.

Qualifications and Skills Requirements:

  • Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • 5+ years of experience in data science, with expertise in predictive modeling and machine learning.
  • Strong proficiency in Python or R, SQL (Big Query), and data visualization tools (Tableau, Looker Studio).
  • Experience with machine learning algorithms and big data technologies (GCP, Hadoop, Spark).
  • Excellent communication, problem-solving, and analytical skills.
  • Strong business acumen and ability to work independently or within a team.

Ready to turn complex data into game-changing strategies? Apply now and be part of a team where data fuels innovation and drives success!

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