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    Data Science Team Lead

    The Robovision Professional Services team is responsible for delivering state of the art AI solutions/projects to our clients. A solution consists of a Deep Learning element, which is a configuration of our software package, and a hardware element, which has both an optical (cameras, lighting) and computational (edge devices, servers, cloud) aspect. As a Data Science Team Lead you are responsible for delivering multiple projects in parallel to multiple clients. You do this together with a team of Project Engineers (Data Scientists) of which you also act as team lead.

    Who you’ll meet

    We’re a team of physicists, mathematicians, engineers, creatives, optimists and makers. We value openness, radical candor, childlike enthusiasm and solution driven attitudes.

    Robovision opens up the human-machine revolution to companies looking to lead. We’re always looking for talented people who are eager to make a difference.

    Responsibilities
    • Coordinate internal resources and third parties/vendors in the delivery of projects
    • Deliver projects in time, quality, scope & cost
    • Communicate/report on your projects with relevant stakeholders
    • Support Sales with inputs for and critical review of quotes
    • Actively coach Project Engineers during projects and in their personal development trajectory
    • Work together with the other Project Managers and the Professional Services Manager to grow
      the Professional Services organization and execute its strategy
    • Continuously improve internal procedures, processes and methodologies
    Profile
    • University Master’s degree or similar based upon experience
    • Minimum 3 years of experience in project management, with a focus on delivery to external customers
    • Experience in leading teams and coaching of individuals
    • Solid verbal and written communication skills (in English)
    • Solid stakeholder management skills (including externally with customers, suppliers,…)
    • You have the ability to abstract and structure complex problems
    • Tech savviness is a must
    • Eagerness to learn
    • Excellent resource planning and task scheduling skills
    • Experience in Machine Learning or Consulting are a plus
    • Experience in delivering IT-based projects is a plus
    We offer
    • The opportunity to work in a dynamic high tech environment where initiative and strong hands-on mentality are absolutely valued
    • A young, vibrant and open company culture
    • An attractive compensation package

    Let’s meet