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Lead Data Scientist; Remote

Remote / Online - Candidates ideally in
Cape Town, 7561, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
Position: Lead Data Scientist (Remote)
About the Role

Our client, a pioneer in AI-driven solutions for the e-commerce industry, is seeking an exceptional Lead Data Scientist to join their fully remote team. This senior role is responsible for guiding the company's data science initiatives, mentoring a team of data scientists, and driving the development of advanced analytical models and machine learning algorithms. The Lead Data Scientist will play a crucial role in translating complex business problems into data-driven solutions, leveraging cutting-edge techniques to extract actionable insights and enhance product offerings.

This position demands a deep technical expertise, strong leadership capabilities, and a passion for innovation within the field of data science and artificial intelligence. The role is fully remote, offering the flexibility to work from any location while collaborating with a globally distributed team.

Key Responsibilities
  • Lead and mentor a team of data scientists, overseeing project execution and ensuring high-quality deliverables.
  • Design, develop, and implement sophisticated machine learning models and analytical solutions.
  • Extract, clean, and transform large, complex datasets from various sources.
  • Conduct exploratory data analysis to identify trends, patterns, and insights relevant to business objectives.
  • Develop and deploy predictive models for forecasting, personalization, and recommendation engines.
  • Collaborate with product managers, engineers, and business stakeholders to define data science requirements and integrate solutions.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
  • Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
  • Contribute to the development of the team's technical roadmap and best practices.
  • Evaluate and implement new tools and technologies to enhance data science capabilities.
Requirements
  • Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7+ years of experience in data science or machine learning roles, with at least 2 years in a leadership or mentoring capacity.
  • Proven track record of successfully applying data science techniques to solve real-world business problems, preferably in e-commerce or related fields.
  • Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
  • Strong experience with SQL, No

    SQL databases, and big data technologies (e.g., Spark, Hadoop).
  • Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and collaboration skills, with the ability to lead remote teams effectively.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  • Published research or contributions to the data science community are desirable.
Benefits
  • Highly competitive salary and substantial bonus opportunities.
  • Equity options in a rapidly growing AI-focused company.
  • Comprehensive global health, dental, and vision insurance.
  • Generous retirement savings plan.
  • Unlimited paid time off (PTO).
  • Remote work stipend and professional development budget.
  • Opportunity to work on challenging AI problems with significant impact.
  • A culture that fosters innovation, learning, and collaboration.
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