- Collaborate with data science manager to establish technical vision, strategy, and goals.
- Provide effective leadership to the data science team, fostering innovation and growth.
- Guide and mentor team members, promoting professional development and skills in AI, data science, machine learning, and related technologies.
- Effectively manage resources, ensuring efficient project execution and alignment with business goals.
- Align delivery with company and Development & Engineering team strategy and planning.
- Lead and contribute to the end-to-end development of AI solutions using data science and machine learning, addressing real-world challenges in telemetry, IoT, and Engineering domains as determined by business.
- Ensure timely delivery of solutions with desired functionality, quality level, and sustainability.
- Collaborate with cross-functional teams to gather requirements, design solutions, and integrate insights into operational processes.
- In collaboration with field experts, coordinate the design and implementation of generative models, contributing to enhanced vehicle tracking, recovery operations, and operational efficiency.
- Uphold highest standards of quality in AI and Data Science solutions by implementing best practices in data preparation, model development, validation, data quality, etc.
- Oversee rigorous testing methodologies to validate accuracy, reliability, and effectiveness of developed models, ensuring they meet business requirements.
- Take responsibility for ongoing maintenance and optimization of AI/DS products, services, models, and solutions, ensuring they remain effective and aligned with changing business needs.
- Collaborate with IT and other engineering teams to address technical issues, ensure system stability, and provide timely support when required.
- Foster culture of knowledge sharing within team by promoting exchange of expertise, insights, and lessons learned from past projects.
- Facilitate documentation of project details, methodologies, and best practices, ensuring seamless knowledge transfer among team members.
- Mentor and coach junior data science members.
- Drive integration of AI solutions into overall engineering environment, leveraging tools and processes that align with industry best practices.
- Collaborate with engineers, data engineers, and IT specialists to ensure scalability, reliability, and security of AI solutions in production environment.
- Strive to enhance engineering processes and practices by contributing insights from AI projects to improve overall operational efficiency of organization.
- Effective use of AI and Data Science development toolsets.
- Follow department development standards adapted to Data Science.
- BSc (Comp Sci) or BEng or higher qualification of relevance.
- Other STEM degrees from established Universities might be considered given relevant minimum experience.
- Additional leadership development is an advantage.
- Minimum of 4 years of relevant experience in AI, data science, and machine learning.
- At least 1 year in a team lead or managerial role, and 2 years in a senior data scientist role.
- Established hands-on experience with Python, DataBricks, PySpark, Azure, SQL, PowerBI, and GIS.
- Success in leading AI/Data Science solutions using data science and machine learning in telemetry, IoT, Software Development, or Engineering contexts.
- Familiarity with Linux and proficiency in additional programming languages like Java or C#.
- Excellent analytical and problem-solving skills.
- Ability to translate business needs into data-driven solutions.
- Strong leadership skills with ability to motivate and guide team toward achieving common goals.
- Effective communication and collaboration abilities to work closely with cross-functional teams.
- Detail-oriented mindset with commitment to delivering high-quality, actionable insights.
- Experience in the Telematics or automotive industry is a plus.
- Project Management: Agile frameworks like Scrum or Kanban (essential), Project management tools.
- Programming: Python (essential), Java or C# (optional).
- AI: AIOps, Generative models such as LLMs (highly desirable), GANs, VAEs, LangChain, etc.
- Big Data: MS Azure (essential), Apache Hadoop, Delta Lake format, Parquet, and Spark.
- Visualization: PowerBI, Matplotlib, Seaborn, Plotly.
- Version Control: Git (essential), GitHub, GitLab, or related.
- Geospatial: GIS software, GeoPandas.
- Deployment: Docker and Kubernetes, CI/CD pipelines.
- Testing: Unit and integration testing frameworks, Model performance monitoring and logging tools.
- Documentation: MS Office, Wiki platforms (for team documentation).
- Maths: Statistical techniques and hypothesis testing, University level mathematics.
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Data Science Lead Centurion - Outsource SA Solutions (pTY) Ltd

1 week ago

Description
Job Overview
Key Responsibilities
Delivery of AI and Data Science Solutions
Best Practice Quality and Testing
System Maintenance and Support
Knowledge Transfer
Engineering Processes and Environment
Desired Experience and Qualifications
Education:
Working Experience: Minimum 4 years hands-on experience:
Technologies Experience:
Interested?
Please submit your CV through PNET if you are interested in applying for this position and one of our consultants will be in contact with you. Should you not receive correspondence from us within two weeks of your application submission, consider your application unsuccessful.
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