Lead a team of Data Scientists to execute a roadmap, from ideation through to design, delivery and ongoing maintenance of several projects. Work with senior stakeholders within the Data Science team, as well as technical, commercial and operational teams, to identify and extract value from quantitative and data science models in a sustainable way.
Sportsbet's purpose is to bring excitement to life for its customers and we do this by over-delivering on excitement through serious fun, disrupting the status quo and living our values. We’re a flexible, progressive, open-minded, and inclusive employer with over 7,000 cool, clever and curious people around the world. As part of the Flutter Group, we’re a global player, but in Melbourne, Sydney and Darwin we’re tight knit, with 1,000 of us bringing excitement to life every day.
Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools – take a look: https://responsiblegambling.sportsbet.com.au/hc/en-us
From modelling sports to personalising experiences, delivering advantage through cutting edge predictive models is key to Sportsbet’s current and future success in a highly competitive market. We work with business and technology stakeholders to build new data products, and seek out processes that are ripe for disruption.
We are investing in our MLOps framework, ML engineering support, and global data and Risk & Trading platforms. We work at massive scale - when we build a pricing model, it powers the entire Flutter group - and we are levelling up our data and tech footprints to continue to stay ahead of the pack. With over 2 million active customers in Australia (over 7m globally), and 200 price updates per second, there is ample opportunity for our data scientists to have an impact.
Our Customer & Marketing Data Science team build predictive customer lifecycle models, personalised recommendation engines and lots more. Within the broader data science team, we work closely with teams that look at the application of data science to areas such as safer gambling, personalisation, risk and pricing.
About the role
The team you will lead is closely aligned to the Growth department at Sportsbet and is focussed on applying data science and other quantitative techniques to understand, analyse and predict customer behaviour. As our product and customer base has scaled, it is becoming increasingly important for the business to use personalised and predictive customer models to create and optimise customer journeys.
The successful candidate will be highly pragmatic and focussed on stakeholder outcomes, with excellent attention to detail. They will have a passion for the application of mathematical ideas to concepts in gambling, sports, racing, and customer behaviour and for developing models and tools that will be interpreted and used by both humans and machines. They are commercially minded and outcome focussed with track record of unlocking data to drive commercial value.
Key responsibilities include:
Leading people – you will be leading a team of 3-5 Data Scientists of various experience levels, including managing development plans, performance reviews, coaching and mentoring
Project Delivery, from ideation through to delivery and ongoing maintenance
Build and manage stakeholder relationships to negotiate and influence outcomes
Help build capabilities (technical, commercial and soft) within the Data Science team
Collaborate closely with leads and team members in the Data Science team
Ability to communicate effectively with senior commercial and technical stakeholders
Ability to coach and deliver feedback to junior and senior team members
Very strong level of commercial acumen and ability to develop domain knowledge to drive business value
Ability to develop best practice for working with complex data at scale
5+ years experience in Data Science or other quantitative fields
2+ years experience in leading data science and/or analytics teams
Significant experience in building, deploying and maintaining Data Science projects, using a variety of tools and environments (eg R, Python, AWS, Databricks)
Undergraduate or Graduate degree in a Quantitative discipline e.g. Maths, Science, Engineering etc
We work hard and play hard, so along with a very competitive salary and generous performance-based bonus, we will also provide you with:
25 days annual leave (a whole extra week of holidays!)
Tailored career development programs, as well as a commitment to developing Thought Leader and Specialist Talent programs
Genuine flexible working and remote working policy with an $850 work from home office allowance
Discounted gym memberships, free breakfast and loads of event and conference tickets and many more
Access to Headspace App and an employee assist program
Best in class Parental Leave program with six months paid leave for Primary Carers and Circle In membership
We’re a flexible, progressive, open-minded, and inclusive employer who welcomes you for who you are, as you are- that’s why we assess behaviours, learning agility and expertise to ensure all types of experiences are considered for our roles. We encourage you to apply as soon as possible as we review candidates with 2-3 weeks of advertising.
If you require adjustments to the recruitment process, please email firstname.lastname@example.org for a confidential discussion.
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