Data Science Manager (Risk) 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 have a brand new role for a Data Science Manager (Risk) to join our Data Science team.
Are you ready to take the reins of data science innovation and lead a dynamic team toward delivering cutting-edge solutions? We are seeking a seasoned Data Science Manager who will bring both technical prowess and exceptional leadership skills to the forefront. In this role, you will leverage your extensive knowledge to guide and inspire a team of talented individuals, driving the creation of robust and reliable data science solutions to solve defined problems within the risk business functions.
Note: We are open for this role to be hybrid or office-based in our Perth or Sydney office locations or remote in Australia.
Key responsibilities will include: Influencing/driving the vision, in-line with stakeholders of data science application within the business for the risk or product/growth functions and business unitsChallenges the status quo for continual improvement of model application, advancement of methodologiesUtilises a diverse and deep knowledge of data science topics to scope problem statementsEnables team members to run design (scoping) sessions with stakeholders to discuss all the possible solutions to a defined problem.Displays a deep understanding of more than two data science related topics, such as inferential statistics, recommendation systems, etc.. and how to apply them within a business context to derive valueUtilises their depth and breadth of knowledge to rapidly prototype scoped solutions, with a learn fast mindsetLeads primarily by example. Writes quality code, thought leadership when it comes to solutions and data science topics, models good behaviour in social engagementsCoaches and mentors other team members on approaching problem statements, application of frameworks and best practicesWhat you will bring to the role: A quantitative degree in Computer Science, Data Science, Applied Statistics, Engineering or similar5+ years experience in a data science orientated role, with at least 2 people in a senior people leading positionDisplays an understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business contextYou have experience in the full lifecycle of developing, deploying and maintaining machine learning models in cloud environments (e.g. Databricks, GCP)You are proficient with languages: Python and SQLAble to describe technical concepts and topics to laymen stakeholdersMust have persistence, good interpersonal skills, technical acumen, and hustle.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 www.vgw.co 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. #LI-CJ2
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