Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer!

What's in it for you?

As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation.

Your role with us:

In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

Who are we?

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment 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 700+, 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:

• Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring.
• Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform. 
• Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery.
• Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
• Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts.
• Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.

What you will bring: 

Essential experience

• 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Expert proficiency in cloud infrastructure management using Terraform.
• Deep hands-on experience with major cloud platforms (AWS, Azure or GCP).
• Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
• Proficiency with containerisation technologies (Docker, Kubernetes).
• Advanced proficiency in Python and scripting for infrastructure automation.

Bonus points if you also have:

• Experience within iGaming.
• Experience working with large volumes of data, preferably at petabyte-scale.
• Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop).
• Familiarity with monitoring and observability platforms.
• Knowledge of data security, governance, and compliance practices relevant to ML operations.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

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.

Passionate about unearthing and driving complex data science solutions across huge amounts of data to drive business value? Join our growing Data Science Team!

What's in it for you?

As a Senior Data Scientist, you will play a pivotal role in driving all stages of our data science projects including: ideation, scoping, development, deployment and monitoring. Working closely with business stakeholders and leadership, you will get to work on our global platforms to architect and implement scalable solutions that will impact millions of users worldwide.

Your role with us:

In your role with us, you will drive and technically lead complex machine learning and AI initiatives across our global platform, architecting and implementing scalable solutions that handle petabyte-scale data and impact millions of users worldwide. The role involves providing technical leadership, mentoring junior team members, and working closely with 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 entertainment 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 700+, 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:

• Technically lead the end-to-end machine learning solutions. Design, develop, and deploy comprehensive machine learning models from ideation and data collection to deployment and ongoing monitoring.
• Drive the technical strategy and architecture decisions for large-scale data science projects
• Apply statistical analysis and machine learning techniques to solve key business problems across various domains.
• Design and implement robust monitoring systems for production ML models.
• Partner with stakeholders to understand needs and communicate complex data science concepts, progress, and results to both technical and non-technical audiences.
• Mentor and provide technical guidance to junior data scientists.

What you will bring: 

• 5+ years of hands-on data science experience in industry.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
• Expert-level programming skills in the Python ecosystem (numpy, pandas, scikit-learn).
• Advanced proficiency in SQL.
• Demonstrated expertise in machine learning algorithms and their practical applications.
• Proven experience in designing and deploying production ML systems.
• Experience with cloud platforms and distributed computing.
• Track record of successfully delivering end-to-end ML projects.

Bonus points if you also have:

• Master's or PhD in relevant quantitative discipline.
• Deep expertise in AWS cloud services and ML deployment pipelines.
• Extensive experience with big data technologies and distributed computing frameworks.
• Specialized expertise in one or more areas: NLP, Computer Vision, Recommender Systems
• Experience with deep learning frameworks, particularly PyTorch.
• Experience leading technical teams or mentoring junior data scientists.
• Experience with ML systems design for high-scale, real-time applications.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

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.

Are you a hands-on Lead Data Analyst with experience in marketing and campaign analytics? Look no further, Easygo has the perfect opportunity for you!

What's in it for you?
We are seeking a Lead Data Analyst with Marketing Analytics experience for a newly-created, hands-on leadership role.

This role will be part of our Business Intelligence Team but will work closely with Marketing, Product and Data Engineering to deliver actionable insights on live campaigns, customer lifecycle optimisation, and growth initiatives.

Your role with us:

You will play a key role in shaping how marketing decisions are made - from real-time campaign performance tracking, to deep customer journey analysis - while also building scalable data foundations and providing technical leadership.

You’ll lead the development of data-driven solutions, experimentation frameworks, and advanced analytics capabilities to enable smarter, faster marketing decisions.

Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment 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 700+, 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:

Lead analytics delivery for a core domain
Own and deliver high-quality, scalable analytics for the marketing domain, supporting campaign performance and growth initiatives with consistent and reliable insights.

Partner with stakeholders on growth & customer insights
Work closely with Marketing to understand business problems, analyse customer behaviour, funnels, and lifecycle, and provide actionable insights to optimise acquisition, engagement, and retention.

Build data-driven solutions and advanced analytics capabilities
Develop reusable, scalable solutions including performance tracking frameworks, analytical datasets, and experimentation approaches to move beyond ad-hoc reporting.

Design and scale data models and semantic layer
Build and maintain robust data models that support campaign tracking and user behaviour analysis, contributing to a well-structured semantic (gold) layer for self-serve analytics.

Collaborate across Data Engineering and Product teams
Partner with Data Engineers and Engineering to integrate third-party data sources, improve tracking and instrumentation, and ensure alignment with the broader data platform.

Lead, mentor, and uplift the team
Provide technical leadership, set standards for analytics and data modelling, and support the growth and capability uplift of analysts across the team.

Drive data culture, governance, and best practices
Promote data-driven decision-making, improve documentation and data quality standards, and enable scalable self-serve analytics across stakeholders.

What you will bring:

• Experience mentoring or leading a team data analysts
• Strong experience in SQL and Python
• Proven experience in data modelling/analytics engineering (e.g. dbt, SQL transformations)
• Experience working with modern data platforms (AWS, Azure, GCP, Databricks or Snowflake)
• Solid understanding of data pipelines and data architecture (e.g. bronze/silver/gold layers)
• Strong analytical thinking — able to translate business problems into data solutions
• Excellent stakeholder communication and ability to influence decisions

Bonus points if you also have:

• Experience with self-service analytics
• Experience in gaming, betting, or high-scale consumer platforms
• Experience with experimentation and/or A/B testing frameworks
• Familiarity with event tracking and product analytics tools

Some of the perks of working with us:

Office Perks & Environment

• In-house baristas serving free coffee, tea, fresh juices, and smoothies
• Daily catered breakfast and regular company-wide events
• Snack walls and drink fridges on every floor
• Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator

Wellbeing & Personal Development

• Access to our Employee Assistance Program for you and your loved ones
• 9,000+ courses on our Learning & Development platform
• One paid volunteer day per year
• Weekly Wednesday massages by professional masseuses

Team Connection & Rewards

• Team budgets for lunches and activities to celebrate achievements
• Social sports teams and participation in Corporate Games
• Easygo branded swag
• Birthday and work anniversary gift vouchers, plus a chance to win prizes 

Events & Experiences

• Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
• Office visits from big-name streamers
• Meet Ambassadors like Alex Pereira, Israel Adesanya
• Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events

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 experiences, we never discriminate on the basis of race, religion, nationality, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. 

We’re a global team of dreamers, creators, and game-changers from every walk of life, united by a passion for entertainment that inspires the world.

We believe that the best ideas come from different perspectives, so we actively welcome and champion talent from all backgrounds, cultures, identities, and experiences. Whether you're just starting out or bringing decades of experience, your unique voice matters here.

Are you passionate about building high-quality data assets, data models and pipelines? As a Senior Data Analyst, you’ll play a vital role in developing gold tables and features, ensuring version control and pipeline reliability to build intelligence that drives decision-making across our Kick platform. This is your chance to shape the future of online entertainment by empowering teams with data-driven strategies and solutions in a greenfield Analytics environment.

What's in it for you?

At Easygo, data sits at the heart of every decision we make. In this role, you’ll have the opportunity to work with large-scale, real-time datasets in a fast-paced and innovative environment. You’ll gain exposure to advanced tools and technologies, collaborate with cross-functional teams, and see your work directly influence Kick's growth and strategy.

Your role with us:

As a Senior Data Analyst at Easygo, you will produce creative and actionable reporting/insights for stakeholders and will also play a mentoring role; peer-reviewing the work of other analysts, guiding best practices, and contributing to the ongoing maturity of Kick’s analytics function.

Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment 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 700+, 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 build gold-standard data assets and semantic features that power business reporting.
• Deliver advanced analyses and insights that drive product, growth, and strategy decisions.
• Create creative, compelling reports and dashboards that highlight opportunities and risks.
• Translate complex data into decision-ready outputs for leadership.
• Partner with stakeholders to define key metrics and ensure alignment across teams.
• Collaborate with BI, Data Engineering, and Product to maintain robust pipelines and models.
• Communicate technical issues, trade-offs, and opportunities clearly to business teams.
• Peer-review and provide feedback on the work of other data analysts to maintain high standards.
• Maintain and optimise data pipelines, ensuring accuracy and performance.
• Implement version control practices and monitor for pipeline or data issues.
• Document workflows, ensure metric consistency, and promote best practices.
• Bring a strong understanding of the streaming and digital media industry to contextualise findings.
• Identify and communicate strategic opportunities where data can unlock business value.

What you will bring: 

• 5+ years in data analytics, data engineering, BI, or related roles.
• Advanced SQL and Python skills and strong experience with data modelling.
• Proficient knowledge on distributed computing and PySpark.
• Hands-on experience with pipeline tools such as dbt, databricks.
• Proficiency in behavioural analytics tools (Amplitude, Mixpanel, Heap, Google Analytics).
• Familiarity with version control and collaborative workflows (e.g., Git).
• Ability to mentor and review work of more junior team members.
• Proven ability to deliver insights that shape strategy and performance.

Bonus points if you also have:

• Strong experience on data governance.
• Strong Tableau (or equivalent BI tool) expertise for impactful reporting.
• Prior experience in gaming, streaming, or digital entertainment industries.
• Familiarity with large-scale event-driven data and performance tuning.

Some of the perks of working with us:

Office Perks & Environment

• In-house baristas serving free coffee, tea, fresh juices, and smoothies
• Daily catered breakfast and regular company-wide events
• Snack walls and drink fridges on every floor
• Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator

Wellbeing & Personal Development

• Access to our Employee Assistance Program for you and your loved ones
• 9,000+ courses on our Learning & Development platform
• One paid volunteer day per year
• Weekly Wednesday massages by professional masseuses

Team Connection & Rewards

• Team budgets for lunches and activities to celebrate achievements
• Social sports teams and participation in Corporate Games
• Easygo branded swag
• Birthday and work anniversary gift vouchers, plus a chance to win prizes 

Events & Experiences

• Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
• Office visits from big-name streamers
• Meet Ambassadors like Alex Pereira, Israel Adesanya
• Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events

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 experiences, we never discriminate on the basis of race, religion, nationality, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

We’re a global team of dreamers, creators, and game-changers from every walk of life, united by a passion for entertainment that inspires the world.

We believe that the best ideas come from different perspectives, so we actively welcome and champion talent from all backgrounds, cultures, identities, and experiences. Whether you're just starting out or bringing decades of experience, your unique voice matters here.