Lead Data Scientist - AI/ML

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Premium health coverage

Retirement planning

Life insurance

Ample paid time off

Professional development programs

Stock options

Cutting-edge technology resources

Job summary

Placements24 seeks a Lead Data Scientist with AI/ML expertise to lead a team in delivering advanced AI-driven solutions from our Sandton office. The role drives innovation through development, deployment, and continuous improvement of ML models that solve complex business challenges in a hybrid environment.

The ideal candidate holds a PhD or MSc with 7+ years in data science, strong leadership, deep ML knowledge, and proficiency in Python/R, TensorFlow, PyTorch, and big data/cloud technologies.

Qualifications

• PhD or MSc in Computer Science, Statistics, Mathematics, or a related quantitative field with AI/ML specialization.
• Minimum of 7 years experience in data science and ML, with at least 2 years in leadership or team lead role.
• Deep understanding of ML algorithms (deep learning, NLP, RL, time series).
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with Spark/Hadoop and cloud platforms (AWS, Azure, GCP).

Responsibilities

• Lead design, development, and deployment of ML models and AI solutions.
• Mentor a team of data scientists to foster technical excellence and innovation.
• Collaborate with product managers, engineers, and stakeholders to define requirements and deliver AI features.
• Conduct advanced statistical analysis, data mining, and predictive modeling.
• Develop and deploy scalable ML pipelines; ensure production model performance and reliability.
• Evaluate and experiment with new AI/ML technologies and methodologies.
• Communicate findings and recommendations to technical and non-technical audiences.
• Contribute to data strategy and ensure ethical AI practices.

Skills

Leadership

AI/ML expertise

Statistical modeling

Communication

Python/R

Big data

Cloud platforms

Education

PhD or MSc in Computer Science/Statistics/Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure/GCP

Job description

About the Role

Our client, a cutting-edge technology firm, is seeking an accomplished Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning. This hybrid role, based in our bustling Sandton office, offers the exciting prospect of driving innovation in AI-driven solutions. You will lead a team of data scientists, guiding the development and deployment of advanced machine learning models to solve complex business challenges. The ideal candidate possesses a strong theoretical and practical understanding of AI/ML algorithms, significant experience in statistical modeling, and proven leadership capabilities. This is a pivotal role for someone passionate about leveraging data to create intelligent systems and drive significant business impact.

Key Responsibilities

• Lead the design, development, and implementation of machine learning models and AI solutions.
• Mentor and guide a team of data scientists, fostering a culture of technical excellence and innovation.
• Collaborate with product managers, engineers, and stakeholders to define project requirements and deliver impactful AI features.
• Conduct advanced statistical analysis, data mining, and predictive modeling.
• Develop and deploy scalable ML pipelines and ensure model performance and reliability in production environments.
• Evaluate and experiment with new AI/ML technologies and methodologies.
• Communicate complex findings and strategic recommendations to both technical and non-technical audiences.
• Contribute to the company's data strategy and ensure ethical AI practices.

Requirements

• Ph.D. or M.Sc. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a specialization in AI/ML.
• Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership or team lead role.
• Deep understanding of various ML algorithms (e.g., deep learning, NLP, reinforcement learning, time series analysis) and their applications.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Proven ability to manage complex projects and mentor junior team members.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a hybrid environment, balancing on-site collaboration with remote focus.

Benefits

• This hybrid position offers a highly competitive salary, significant performance bonuses, and a comprehensive benefits package including premium health coverage, retirement planning, and life insurance.
• Employees receive ample paid time off and are encouraged to pursue continuous learning through professional development programs, workshops, and conference attendance.
• Our client provides a dynamic and collaborative work environment at our modern Sandton facility, fostering innovation and growth.
• The hybrid model offers flexibility, promoting a healthy work-life balance.
• Additional benefits include stock options and access to cutting-edge technology resources.