Lead Data Scientist

Placements24; South Africa; On-site; ZAR 950,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary with bonus

Health insurance

Training & conference attendance

Challenging projects

Pension plan

Job summary

Placements24 is seeking an accomplished Lead Data Scientist to spearhead its data analytics initiatives from the Tembisa office. The role involves leveraging advanced statistical and machine learning techniques to extract actionable insights from large datasets and drive strategic decisions.

You will lead a team of data scientists, define project roadmaps, mentor team members, and communicate findings to both technical and non-technical stakeholders, shaping data-driven strategies across the

Qualifications

• Advanced degree (Master's or Ph.D.) in Statistics, Computer Science, Data Science, or a related quantitative field.
• 8+ years of experience in data science, with a strong focus on statistical modeling, machine learning, and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
• Expertise in SQL and experience working with big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to lead projects and mentor team members.
• Excellent analytical and problem-solving skills with a keen attention to detail.

Responsibilities

• Lead the development and deployment of sophisticated machine learning models and algorithms.
• Extract, clean, and transform large, complex datasets from various sources for analysis.
• Design and execute data experiments to test hypotheses and uncover new business opportunities.
• Mentor and guide junior data scientists, fostering a collaborative and high-performing team environment.
• Present complex analytical findings and recommendations clearly to executive leadership and business units.
• Collaborate with engineering teams to integrate data science solutions into production systems.

Skills

Team leadership

Mentoring

Analytical thinking

Communication

Education

Master's or PhD in statistics, CS, data science

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

SQL

Spark

Hadoop

Job description

About the Role

Our client is seeking an accomplished Lead Data Scientist to spearhead their data analytics initiatives from their Tembisa office. This senior role involves leveraging advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving strategic decision-making across the organization. You will lead a team of data scientists, define project roadmaps, and communicate findings to both technical and non-technical stakeholders. This is a unique opportunity to shape the future of data-driven strategies within a rapidly growing company committed to innovation and data excellence.

Key Responsibilities

• Lead the development and deployment of sophisticated machine learning models and algorithms.
• Extract, clean, and transform large, complex datasets from various sources for analysis.
• Design and execute data experiments to test hypotheses and uncover new business opportunities.
• Mentor and guide junior data scientists, fostering a collaborative and high-performing team environment.
• Present complex analytical findings and recommendations clearly to executive leadership and business units.
• Collaborate with engineering teams to integrate data science solutions into production systems.

Requirements

• Advanced degree (Master's or Ph.D.) in Statistics, Computer Science, Data Science, or a related quantitative field.
• 8+ years of experience in data science, with a strong focus on statistical modeling, machine learning, and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
• Expertise in SQL and experience working with big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to lead projects and mentor team members.
• Excellent analytical and problem-solving skills with a keen attention to detail.

Benefits

• Highly competitive salary package with significant bonus potential.
• Comprehensive health insurance and wellness programs.
• Opportunities for advanced training and attending leading data science conferences.
• A stimulating work environment with challenging and impactful projects.
• Defined contribution pension plan and other retirement benefits.