Lead Data Scientist - Analytics
Remote / Online - Candidates ideally in
Centurion, 0014, South Africa
Listed on 2026-09-06
Centurion, 0014, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-06
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
About the Role
Our client is looking for an innovative and experienced Lead Data Scientist to spearhead their advanced analytics initiatives within a fully remote setup. This senior position involves leading a team of data scientists, defining the analytics roadmap, and leveraging cutting‑edge machine learning techniques to extract actionable insights from complex datasets. You will play a pivotal role in driving data‑driven decision‑making across the organization, contributing significantly to strategic business objectives.
This is a unique opportunity for a seasoned data science leader to shape the future of analytics in a collaborative, remote‑first culture.
- Lead and mentor a team of data scientists, fostering a culture of innovation and technical excellence.
- Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.
- Design and execute data analysis strategies to uncover insights and drive business growth.
- Collaborate with product managers and engineers to integrate data science solutions into product offerings.
- Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
- Oversee the end-to-end data science project lifecycle, from conception to deployment and monitoring.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of professional experience in data science, with a proven track record of leading complex projects.
- Expertise in programming languages such as Python or R, and proficiency with data science libraries.
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Strong leadership, communication, and problem‑solving skills, with the ability to thrive in a remote team.
- Highly competitive salary and significant stock options.
- Comprehensive global health, dental, and vision benefits.
- Generous remote work allowance for equipment and co‑working spaces.
- Abundant opportunities for professional growth and attending leading conferences.
- A dynamic and inclusive remote work environment with regular virtual team events.
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