Passionate about leveraging advanced analytics and machine learning across huge amounts of data to drive business value? Join our growing Data Science Team!

What's in it for you?

As a Data Scientist, you will work within a collaborative team to deliver data science projects across the organisation. Working closely with business stakeholders, you will help build, deliver and implement solutions on our global platforms that impact millions of users worldwide.

Your role with us:

In your role with us, you will work on complex machine learning and AI initiatives across our global platform, implementing scalable solutions that handle petabyte-scale data. The role will work closely with business stakeholders to deliver high-impact data science solutions that drive business value.

Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the iGaming industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. 

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 400+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you will do:

• Design and implement end-to-end machine learning solutions to address critical business challenges
• Develop and execute data collection strategies across global data sources
• Collaborate with cross-functional teams to identify and prioritize high-impact data science opportunities
• Build and deploy scalable ML models that can handle large-scale, real-time data processing
• Present insights and recommendations to stakeholders at all levels
• Contribute to the development of best practices for ML model development and deployment

What you will bring: 

• 2+ years of hands-on data science experience in industry
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• Strong programming skills in Python ecosystem (numpy, pandas, scikit-learn)
• Proficient in SQL for complex data manipulation and analysis
• Solid understanding of machine learning algorithms (both supervised and unsupervised)
• Experience with cloud platforms (AWS, Azure, or GCP) and distributed computing

Bonus points if you also have:

• Master's or PhD in relevant quantitative discipline
• Experience with AWS services (Redshift, S3) and ML deployment pipelines
• Proven track record in managing full ML lifecycle for large-scale data projects
• Expertise in specialized ML domains (NLP, Computer Vision)
• Experience with deep learning frameworks, particularly PyTorch
• Experience handling big data technologies and distributed computing frameworks

Some of the perks of working for us:

• EAP access for you and your family
• Access to over 9,000 courses across our Learning and Development Platform 
• Paid volunteer day
• Two full-time baristas who will make your daily coffee, tea, fresh juices and smoothies for FREE!
• FREE daily catered breakfast!
• Massage Wednesdays - we get professionals to do this!
• Team lunches and happy hour in the office from 4pm on Fridays
• Fun office environment with pool tables, table tennis and all your favourite gaming consoles
• 'Help Yourself' Cold Drinks Fridges and massive Snack Walls on every working level!

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.