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Data Scientist

BigTalent · Location not stated

  • Staffing & Recruiting
  • 2–10 employees
  • Cape Town, Western Cape

Strong hiring record · median 57 days open

7373

Hiring signal

Open

Still listed on the employer's own board · How we score

All reasons
  • Open 56 days
  • This role has been posted 3 times
  • No location stated

In its favour

  • Still listed on the employer's own board

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Data Scientist at BigTalent. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Data Scientist - BigTalent | Career Page

Data Scientist

Johannesburg, South Africa

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Job Openings Data Scientist

About the job Data Scientist

Position Title

Data Scientist

Location

Johannesburg (Hybrid - 1-2 days on-site per week)

Are you passionate about leveraging data to transform customer experiences? Join our client's dynamic team as a Data Scientist, where you'll harness your expertise to drive automation, predictive modelling, and optimization initiatives that shape the future of customer interactions.

Duties and Responsibilities

  • Analyse customer data to uncover trends, optimize processes, and enhance customer service.
  • Collaborate with cross-functional teams to ensure data-driven decision-making across the organization.
  • Lead the development and implementation of automation solutions to meet business objectives.
  • Design predictive models to improve response times and customer satisfaction.
  • Proactively identify areas for process improvement and lead data-driven initiatives.
  • Monitor key performance indicators (KPIs) to track the success of various initiatives and campaigns.

Qualifications and Skills Requirements

  • Bachelors or Masters degree in a quantitative field (Statistics, Mathematics, Engineering, etc.).
  • 2-4 years of experience in data analytics and automation.
  • Strong knowledge of Python, SQL, R, or similar tools for data mining and predictive modeling.
  • Excellent problem-solving skills, with the ability to collaborate across teams and communicate insights effectively.
  • A passion for data, with the ability to clean, structure, and interpret complex datasets.

Ready to make an impact through data-driven innovation? Apply now to become part of a team that's redefining customer experience through intelligent data solutions!

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