Data Science Team Lead TBD

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, IoT, 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