Lead Data Scientist - Analytics

Placements24

Centurion

Hybrid

ZAR 2,881,000 - 4,161,000

Full time

4 days ago
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Benefits offered by this job

Stock options
Health benefits
Remote work allowance for equipment

Job summary

Placements24 is seeking an innovative Lead Data Scientist to spearhead advanced analytics initiatives in a fully remote setup. The role leads data scientists, defines the analytics roadmap, and leverages cutting-edge ML techniques to derive insights from complex datasets, driving strategic business decisions.

This is a senior leadership position in a remote-first culture. You will collaborate with product managers and engineers to deliver data-driven solutions, guide the analytics roadmap, and

Qualifications

  • 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.
  • Proficiency 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).

Responsibilities

  • 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.

Skills

Leadership
Communication
Problem solving
Python
R

Education

Master's or PhD in CS/Statistics/Math

Tools

AWS
Azure
GCP

Job description

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.

Key Responsibilities
  • 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.
Requirements
  • 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.
Benefits
  • 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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