Lead Data Scientist
Full-time
MSP Staffing Pty Ltd
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 ***email_hidden*** or call View phone number on za.workus.org.
Visit our website for more exciting career opportunities:
Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.
Vacancy posted 18 days ago
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