Product Owner

6 months ago


Melbourne, Australia Sportsbet Full time

**Be part of one of the most innovative companies in Australia**:

- **A place to be yourself and thrive**:

- **Recognised as a Top 10 place to work for women (by Work180) & Top 25 companies for career development (by LinkedIn)**

**About Us**

Sportsbet is a leading Australian e-commerce business in the online wagering sector, bringing excitement to over 2 million Aussies. We do this by living our values to create an innovative entertainment brand, trailblazing products and best-in-class platforms that deliver great experiences to our customers.

We have over 1,300 team members at Sportsbet but as part of the Flutter Group, we’re a true global player.

**Committed To Responsible Gambling**

Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

We’re proud to be the leaders in responsible gambling in our industry, not just locally, but globally.

**About the role**

This exciting role is a key position within our Data Science team. Reporting into the GM of Data Science, you will be responsible for owning and driving the development of Machine Learning Capability strategy, initiatives, and roadmap. You will collaborate closely with cross-functional teams, including data scientists, machine learning engineers, and business stakeholders to define and execute the product vision and roadmap for Machine Learning Operations

Key responsibilities include:

- Define the strategic direction and long-term roadmap for machine learning capability, aligning it with the organization's overall business objectives.
- Work closely with Heads of Data Science teams to create and own ML capability roadmap and backlog.
- Continuously assess maturity, identify gaps, and create strategies to uplift maturity of Machine Learning Capability at Sportsbet.
- Develop in-depth understanding of business priorities and how Machine Learning capability should support delivery of key objectives.
- Work closely with Data Science, ML engineering and ML Ops teams to prioritize and develop tools, frameworks, and infrastructure for deploying, managing, governing and scaling machine learning models in production environment.
- Identify bottlenecks and inefficiencies in the machine learning workflow and propose solutions to streamline processes, enhance automation, and improve overall operational efficiency.

**About You**

We are looking for somebody who is self-starting and passionate about what they do. You have a high attention to detail, are commercial in approach and enjoy the complexities of the Data Science industry In addition, you have:

- Proven track record of developing and delivering product roadmaps in the Data practice.
- Strong understanding of Machine Learning concepts including Machine Learning methods, algorithm types, their limitations and model evaluation methodologies. You don’t need to code yourself but conceptual familiarity is desired
- Decent awareness of steps involved in deploying ML models into production, including considerations for scalability, real-time processing, and API integration.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and ML-related services they offer. This includes cloud-based ML frameworks, storage solutions, and computational resources.
- Solid understanding of DevOps concepts

**The Perks**

We work hard and play hard, so along with a competitive salary and generous performance-based bonus, here’s some of our other perks:

- 25 days annual leave
- Genuine flexible and remote working policy with a $1050 work from home office allowance
- Tailored career development programs
- Discounted gym memberships, free breakfast, loads of event and conference tickets
- Access to our Employee Assistance Program and a Circle In membership
- Industry leading Parental Leave support program with 26 weeks paid leave for Primary Carers and no wait time. We also have a progressive return to work benefit for your first 6 months back: come back for 3 days, get paid for 4; come back for 4 days, get paid for 5.

**Our Focus on Diversity, Equity & Inclusion**

If you think you’d be a great fit but don’t necessarily meet everything in the job description, please still get in touch.

Read more about our contribution to Flutter’s global Positive Impact Plan.

***Need To Work Flexibly?**

We know flex means different things to different people, let us know how we can support you to be your best.

LI-HYBRID


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