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    Senior Data Scientist - Brisbane, Australia - VGW

    VGW
    VGW Brisbane, Australia

    5 days ago

    Default job background
    Full time
    Description

    Senior Data Scientist

    VGW is a fast-growing technology company and creator of market-leading online social games. With offices around the globe, we're on a mission to be the biggest gaming company in the world

    We are seeking a highly skilled and experienced Senior Data Scientist with Computer Vision experience to provide technical leadership and deliver robust and reliable data science solutions to defined problems. As a Senior Data Scientist, you will be responsible for scoping, delivering, and maintaining the relevance of models that provide value to our stakeholders, customers, and ultimately, the business.

    Note: We are open for this role to be hybrid in our Perth or Sydney office locations or remote in Australia

    Key responsibilities will include:

    • Utilises a diverse knowledge of data science topics to scope problem statements
    • Constructively participates or runs design sessions with a team to discuss all the possible solutions to a defined problem.
    • Works with senior members of the team and stakeholders to define the measurement of success for a project and ensures viability of the measurement
    • An understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business context
    • Ensures project workflows are adhered to and executed upon through appropriate sign-offs
    • Utilises their breadth of knowledge to rapidly prototype scoped solutions along with input from senior team members, with a learn fast mindset
    • Ensures models remain fit-for-purpose across their lifetime through living documentation

    What you will bring to the role:

    • A quantitative degree in Computer Science, Data Science, Applied Statistics, Engineering or similar
    • 5 years experience in a data science orientated role
    • Solid experience in utilising Computer Vision to solve business problems
    • Experience in neural networks - CNN/R-CNN, ResNet, ViT or Inception
    • A deep understanding of at least one branch of inferential statistics, multiple branches of machine learning and how to apply them appropriately within a business context
    • You have experience in the full lifecycle of developing, deploying and maintaining machine learning models in cloud environments (e.g. Databricks, GCP)
    • You are highly proficient with languages: Python and SQL
    • Able to describe technical concepts and topics to laymen stakeholders
    • Must have persistence, good interpersonal skills, technical acumen, and hustle
    • Able to lead meetings, clearly communicate technical approach, status, assess and mitigate risk

    About VGW

    VGW has been disrupting the online gaming world since 2010 and we're only getting started. We've assembled an incredibly talented global team who bring their passion, energy and expertise to build games that people love.

    At VGW, we have a modern approach to getting work done and a focus on creating an environment where amazing people can do amazing work. That means giving you the flexibility you need, providing spaces that will keep you comfortable and finding opportunities for you to keep learning and growing.

    Find out more at

    If you want to join a team that does things differently apply today and we look forward to seeing what you can bring to our team.

    Why VGW?

    We are on a huge mission to become the biggest gaming company in the world. As we grow to meet this goal, we need talented people rich in diversity to propel us forward. We truly believe the right mix of diversity and authenticity will be our winning hand.

    We are committed to creating a diverse, engaging and inclusive culture for our people to shine, with a workplace that honours your experiences, perspectives, unique identity and passions. For those reasons, we encourage you to browse our employment opportunities and apply today. Please let us know of any accommodations you may need during the application process.

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