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Lead Data Scientist

Remote / Online - Candidates ideally in
Durban, 3611, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-09-26
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below

About the Role

Our client is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives within their fully remote operations. This role is crucial for driving data-informed decision-making across the organization by developing sophisticated machine learning models and predictive analytics solutions. You will lead a team of talented data scientists, guiding research, experimentation, and the implementation of data science projects from conception to production.

This is an exciting opportunity to make a significant impact on business strategy and product development, working within a forward-thinking, remote-first culture.

Key Responsibilities
  • Lead the design, development, and deployment of machine learning models and advanced analytical solutions.
  • Mentor and manage a team of data scientists, fostering innovation and ensuring project success.
  • Collaborate with stakeholders across departments to identify business challenges and opportunities for data-driven solutions.
  • Develop and implement rigorous statistical analyses and A/B testing frameworks.
  • Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
  • Stay abreast of the latest advancements in data science, machine learning, and AI, and advocate for their adoption.
Requirements
  • Ph.D. or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
  • 8+ years of progressive experience in data science and machine learning.
  • Proven track record of leading data science projects and teams.
  • Expertise in programming languages like Python or R, and associated libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
  • Deep understanding of statistical modeling, machine learning algorithms, and experimental design.
  • Experience with big data technologies (e.g., Spark, Hadoop) and SQL/No

    SQL databases.
Benefits
  • Exceptional compensation package including base salary and equity options.
  • Fully remote position with flexibility in working hours.
  • Comprehensive health, dental, and vision insurance.
  • Generous allowance for professional development and continuous learning.
  • Opportunity to work on challenging problems with a talented, globally distributed team.
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