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 Sign in to view email. 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.
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