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  • Posted: Oct 22, 2021
    Deadline: Not specified
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    WELCOME TO SUPERBALIST Here it is – the site where you can shop the world’s best brands shipped quickly, easily and free-of-charge, to your door. Our multichannel platform, including the Superbalist App and our blog, The Way of Us, serves the latest in trends and style advice to 1.5 million registered subscribers daily. What we do From fashion...
    Read more about this company

     

    Superbalist - Data Scientist

    Who’s who

    This position reports to Engineering Team Lead (Machine Learning) 

    The high level

    • Identify valuable data sources and automate collection processes

    • Undertake preprocessing of structured and unstructured data

    • Analyze large amounts of information to discover trends and patterns

    • Build predictive models and machine-learning algorithms

    • Combine models through ensemble modeling

    • Present information using data visualization techniques

    • Propose solutions and strategies to business challenges

    • Collaborate with engineering and product development teams

    • Self-starter, can work independently and take responsibility for problem identification

    Your qualifications & experience

    • Computer Science degree (alternatively a degree in a related field with work experience as a software engineer)

    • Strong Mathematical or Statistical experience

    • Understanding of machine-learning and operations research

    • 2+ years experience applying advanced analytics to real-world problems, preferably in a commercial environment

    • Experience using business intelligence tools and data frameworks 

    • Scenario testing techniques

    • Excellent communication and presentation skills

    Areas of mastery

    • Modeling toolkit (Neural Networks, Clustering Methods, Classification, etc.)

    • Strong in python analytics toolkit (Graphing, Data Profiling, Data Preprocessing, etc)

    Bonus points

    • MSc (or even PhD)

    • Experience handling big data and/or knowledge with advanced analytical techniques.

    • Event driven architecture (PubSub/Kafka)

    • Docker, Kubernetes

    • Dataform, Looker

    • Experience with e-commerce or retail based applications

    The skills we need

    • Be creative

    • Be flexible

    • Be data oriented

    • Take pride in your work

    • Comfortable using open source technologies

    Method of Application

    Interested and qualified? Go to Superbalist.com on superbalist.com to apply

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