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  • Posted: Apr 3, 2020
    Deadline: Not specified
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    Recruit Digital is now part of Salt, a global, award-winning digital recruitment agency, connecting people and businesses within Creative, Marketing, Sales, and Technology. Over 250 consultants are “Creating Futures” around the world and change the lives of 1000s of people each year by helping them to start new roles in some of the most exciti...
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    Product Manager (Machine Learning)

    The Role

    You will work closely with relevant business units to identify opportunities for driving meaningful business results through ML solutions, and then work with stakeholders to prioritize projects for roadmap inclusion.To execute on your roadmap you will work hand in hand with a team of dedicated data scientists, data engineers and machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines (set and communicated to stakeholders quarterly by you). You will also be responsible for defining and reporting on the success metrics of the projects on your roadmap. Success in this role means being able to effectively move the needle of your vertical’s “North Star” metric through consistent execution of machine learning projects. It also means becoming an effective evangelist of machine learning within the business vertical you serve; helping stakeholders understand the capabilities and potential value of ML as well as its limitations.

     

    The Requirements

    • A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building ML MVP and scaling/productizing a prototype to full-scale production.
    • Experience leading and executing cross functional projects. Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment.
    • High accountability when it comes to meeting deadlines and ship dates, and ability to lead numerous projects simultaneously under time constraints.
    • A solid understanding of ML and engineering fundamentals, allowing you to understand and earn the respect of experienced engineers and data scientists.
    • Enjoy making difficult things happen, leading the way in doing things for the first time, changing current ways of working and solving the many challenges along the way.
    • Ability to facilitate thoughtful and constructive conversations within and outside the team and an ability to communicate complex ideas effectively.
    • Preferably, a degree in a quantitative field such as Computer Science, Mathematics, Engineering, Statistics (or other similar quantitative fields).

     

     Key Attributes and Competencies

    • Strategic orientation with an attention to detail.
    • Structured thinking, ability to remove ambiguity and work under pressure.
    • Self-starter and moves quickly.
    • Decisive and able to take accountability, and balance multiple priorities.
    • Can solve complex problems and distil into deliverables.
    • Proficiency to work closely and collaboratively with multiple departments and executives, and in cross-functional teams.
    • Exceptional communication and presentation skills

    Method of Application

    Interested and qualified? Go to Salt South Africa on www.linkedin.com to apply

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