Lead Data Scientist

Our client is seeking a highly experienced Lead Data Scientist to drive advanced data science initiatives within a remote, permanent environment. This role is suited to a senior data science professional who combines strong technical capability with proven leadership and the ability to deliver production-ready AI and machine learning solutions.

Key Responsibilities

• Lead the design, development and deployment of machine learning and AI solutions in production environments.
• Apply advanced statistical modelling and data science techniques to complex business challenges.
• Build, monitor, maintain and retrain production machine learning models.
• Lead or contribute to Agile delivery squads within the Platform organisation.
• Mentor data scientists and provide technical and engineering leadership.
• Work closely with senior stakeholders to communicate technical concepts and delivery outcomes.
• Develop robust data pipelines, features and training datasets using modern lakehouse architectures.
• Produce meaningful analytics and visualisations to support business decision-making.

Key Requirements

• 7+ years' experience across data science, data analytics or data warehousing, with substantial recent data science experience.
• At least 2 years' experience in a technical or engineering leadership role.
• Bachelor's degree in a STEM discipline or equivalent professional experience.
• Advanced Python skills with strong experience in Jupyter Notebooks, pandas, NumPy and scikit-learn.
• Experience with Delta Lake or comparable lakehouse architectures.
• Strong experience with PySpark, feature stores, training-data versioning and schema evolution.
• Strong data warehouse experience, including Azure Synapse Analytics, Azure SQL, T-SQL and/or ANSI SQL.
• Proficiency in Power BI and Python-based visualisation or interactive analysis tools.
• Demonstrated experience deploying and operating machine learning models in production.
• Excellent written and verbal English communication skills.

Only shortlisted candidates will be contacted.

Submit your CV to Sign in to view email or call 021 555 0432.

Visit our website for more exciting career opportunities: https://mspstaffingza.co/

Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.