Lead Data Scientist - Machine Learning

Placements24; Rustenburg; Hybrid; ZAR 2,479,000 - 4,132,000; Full time

Benefits offered by this job

Remote work flexibility

Health, dental, and vision insurance

Stock options and performance bonuses

Professional development opportunities

Job summary

Placements24 seeks a visionary Lead Data Scientist to spearhead machine learning initiatives from a fully remote capacity. You will architect and deploy advanced predictive models, build scalable data pipelines, and mentor a high-performing data team to drive business strategy and product innovation.

You will collaborate with engineering, product, and business units, stay at the forefront of state-of-the-art algorithms, and translate complex analytics into actionable insights for non-technical

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of professional experience in data science with a significant focus on machine learning and AI.
• Proven experience leading data science projects and teams.
• Expertise in programming languages such as Python or R, and proficiency with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data warehousing, big data technologies (Spark, Hadoop), and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to translate business needs into data science solutions.

Responsibilities

• Lead the design, development, and deployment of advanced machine learning models for predictive analytics and data mining.
• Architect and oversee the implementation of data pipelines, ensuring data quality, integrity, and scalability.
• Mentor and manage a team of data scientists and analysts, fostering technical growth and project success.
• Collaborate with stakeholders across engineering, product, and business units to identify opportunities for data science application.
• Research and implement state-of-the-art algorithms and techniques to solve challenging business problems.
• Communicate complex analytical findings and recommendations to both technical and non-technical audiences effectively.

Skills

Leadership

Data science

Python

Communication

Problem solving

Education

Master's or PhD in Computer Science/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a visionary Lead Data Scientist to spearhead their machine learning initiatives, operating in a fully remote capacity. You will architect and implement sophisticated predictive models and analytical solutions that drive business strategy and product innovation. This role requires a blend of deep technical expertise in data science and machine learning, coupled with strong leadership and communication skills to guide a talented team of data professionals. You will be instrumental in shaping the company's data-driven future, tackling complex challenges and uncovering actionable insights from vast datasets, all from your remote work location.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models for predictive analytics and data mining.
• Architect and oversee the implementation of data pipelines, ensuring data quality, integrity, and scalability.
• Mentor and manage a team of data scientists and analysts, fostering technical growth and project success.
• Collaborate with stakeholders across engineering, product, and business units to identify opportunities for data science application.
• Research and implement state-of-the-art algorithms and techniques to solve challenging business problems.
• Communicate complex analytical findings and recommendations to both technical and non-technical audiences effectively.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of professional experience in data science , with a significant focus on machine learning and AI.
• Proven experience leading data science projects and teams.
• Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data warehousing , big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to translate business needs into data science solutions.

Benefits

• Highly competitive salary package commensurate with experience.
• Remote work flexibility, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage.
• Generous stock options and performance-based bonuses.
• Professional development opportunities, including access to online courses and conferences.