Lead Data Scientist
Goldman Tech Resourcing (Pty) Ltd
Our client is seeking an experienced Lead Data Scientist to drive the delivery of advanced data science solutions within a production environment. This permanent remote role offers the opportunity to combine hands-on data science expertise with technical leadership, mentoring and senior stakeholder engagement.
Key Responsibilities
- Lead the development and delivery of production-grade machine learning, statistical modelling and AI solutions.
- Design, deploy, monitor and retrain machine learning models.
- Guide data science delivery and provide technical leadership to team members.
- Mentor and support data scientists in developing their technical capabilities.
- Work with lakehouse architectures, feature stores and training-data versioning.
- Contribute to data warehouse, analytics and visualisation initiatives.
- Communicate technical concepts, project progress and recommendations to senior stakeholders.
- Potentially lead an Agile delivery squad within the Platform organisation.
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.
- Senior-level expertise in machine learning, statistical modelling and AI system design.
- Advanced Python skills with strong experience in Jupyter Notebooks, pandas, NumPy and scikit-learn.
- Experience with Delta Lake or comparable lakehouse architectures.
- 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.
- Strong Power BI and Python-based analytics and visualisation experience.
- Excellent written and verbal English communication skills.
Location & Working Model
- South Africa-based, permanent remote position.
- Occasional travel to Johannesburg or Cape Town, approximately a few times per year.
- Proximity to either Johannesburg or Cape Town is preferred.
- Reports to the Head of Data Science.
Should you meet the requirements for this position, please email your CV to ***email_hidden***. You can also contact us on 031 350 4019 or alternatively you can visit our website https://stand-outstaffing.co.za
Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.