Data Science Lead
Data Science Lead
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Job Description
Overview:
Help transform the pricing ecosystem at Sportsbet. Lead a team of Data Scientists to execute a roadmap from ideation through to design delivery and ongoing maintenance of pricing models across racing and sports. Work with senior stakeholders within the Data Science team as well as technical commercial and operational teams to identify opportunities and extract value from quantitative and data science models in a sustainable way.
About us!
Sportsbets 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. Were a flexible progressive open-minded and inclusive employer with over 7000 cool clever and curious people around the world. As part of the Flutter Group were a global player but in Melbourne Sydney and Darwin were tight knit with 1000 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: modelling sports to personalising experiences delivering advantage through cutting edge data science is key to Sportsbets 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 GenAI MLOps and 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 over 200 price updates onsite per second there is ample opportunity for our data scientists to have an impact.
Our Risk & Pricing or Quants Data Science team build models that power pricing of a range of exciting sports and racing betting products as well as models and tools that help the business understand and improve decision-making around risk. 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 marketing and personalisation.
About the role
We are expanding our Quants team to level up the way we use models to power an ever-expandi betting product offering. The team you will lead is focussed on building pricing models to sustainably power an ever-evolving range of customer-facing betting products in racing and sports.
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 risk and human 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 a track record of unlocking data to drive commercial value.
Key responsibilities include:
- Recruit develop and manage talent you will be leading 3-5 Data Scientists of various experience levels including managing development plans feedback and performance reviews coaching and mentoring
- Change management contribute thinking and help lead the implementation of new and novel approaches to model design delivery and monitoring
- 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
- Strong commercial acumen and ability to develop domain knowledge to drive business value
- Ability to develop best practice for working with complex data at scale
About You
- 5 years experience in Data Science or other quantitative fields ideally with a strong focus on probability-based use cases that have been stress-tested in commercial marketplace settings
- Experience in building and leading teams
- Significant experience in building deploying and maintaining Data Science and quantitative projects using a variety of tools and environments (eg R Python .net AWS Databricks)
- Undergraduate or Graduate degree in a Quantitative discipline e.g. Maths Science Statistics Data Science Engineering etc
The Perks
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
Were a flexible progressive open-minded and inclusive employer who welcomes you for who you are as you are- thats 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 for a confidential discussion.
Ready to bring excitement to life Apply now:
Employment Type
Full-Time
