Data Science Lead

**Overview**:
Do you have a passion for pricing? Coupled with experience leading a team that leverages data to deliver products that bring excitement to life for customers? Then this could be the role for you

A newly created role within Sportsbet’s expanding Data Science team, the Pricing Lead will lead a small team that focusses on delivering high-quality pricing for a range of innovative betting products.

**About us**

Sportsbet's purpose is to bring excitement to life for its customers. 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

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.

**About the role**

Key responsibilities include:

- Leading people - you will be leading 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 - working within a range of cross-functional teams
- 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, including reporting on project progress both verbally and in written form
- 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

**About You**
- 5+ years experience in Data Science or other quantitative fields
- Experience in managing teams, and managing a range of stakeholder relationships
- Undergraduate or Graduate degree in a Quantitative discipline e.g. Maths, Science, Engineering etc
- 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)
- Nice to have - experience working with the.Net framework to deliver low-latency data products

**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

We’re a flexible, progressive, open-minded, and inclusive employer who welcomes you for who you are, as you are