Data Science Lead Centurion

Outsource Sa Solutions; Gauteng; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading data science solutions company in Gauteng is seeking a skilled professional to lead their data science team. The role involves collaborating closely with the data science manager to establish technical strategies while guiding team members in AI and machine learning. Key responsibilities include delivering high-quality AI solutions, managing resources efficiently, and ensuring optimal ongoing support for products and models. The ideal candidate should foster a collaborative environment, thereby promoting creativity and growth within the team.

Responsibilities

• Collaborate with data science manager to execute technical vision and strategy.
• Provide leadership to the data science team and encourage collaboration.
• Guide and mentor team members in AI, data science, and machine learning.
• Manage resources efficiently to align with business goals.
• Deliver AI solutions addressing real-world challenges in telemetry and IoT.
• Uphold quality standards in AI and Data Science solutions and best practices.
• Oversee testing to validate accuracy and reliability of developed models.
• Manage ongoing maintenance and support for AI/DS products and models.

Job description

Job Responsibilities

Collaborate closely with the data science manager to establish and execute the team's technical vision, strategy, and goals.

Provide effective leadership to the data science team, fostering a collaborative and innovative environment that encourages creativity and growth.

Guide and mentor team members, promoting their professional development and enhancing their skills in AI, data science, machine learning, and related technologies.

Effectively manage and allocate resources, ensuring efficient project execution, and alignment with business goals.

Continuously align delivery to the company and Development & Engineering team strategy and planning.

Delivery of AI and Data Science Solutions Lead and contribute to the end-to-end development of AI solutions using data science and machine learning, ensuring they address real-world challenges in telemetry, Io T, and Engineering domains, as determined by business.

Ensure delivery of solutions on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.

Collaborate closely 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.

Best Practice Quality and Testing Uphold the 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 the accuracy, reliability, and effectiveness of developed models, ensuring they meet business requirements.

System Maintenance and Support Take responsibility for the ongoing maintenance and optimization of AI / DS products, services, models, and solutions, ensuring they remain effective and aligned with changing business needs.

Collaborate with the IT and other engineering teams to address any technical issues, ensure system stability, and provide timely support when required.

Knowledge