Senior Data Scientist

3 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

As a Senior Data Scientist at Easygo, you will lead end-to-end machine learning solutions, from ideation and data collection to deployment and monitoring. You'll architect and implement scalable solutions for petabyte-scale data impacting millions of users. Responsibilities include driving technical strategy, mentoring junior team members, collaborating with stakeholders, and communicating complex data science concepts. You will apply statistical analysis and machine learning techniques to solve business problems across various domains and design robust monitoring systems for production ML models.
Must have:
  • 5+ years data science experience
  • Expert Python (numpy, pandas, scikit-learn)
  • Advanced SQL proficiency
  • Machine learning algorithm expertise
  • Production ML system design & deployment
  • Cloud platforms & distributed computing experience
  • End-to-end ML project delivery
Good to have:
  • Master's/PhD in relevant field
  • AWS expertise & ML pipelines
  • Big data technologies & distributed computing frameworks
  • NLP, Computer Vision, or Recommender Systems expertise
  • PyTorch experience
  • Technical team leadership/mentoring
  • High-scale, real-time application experience
Perks:
  • EAP access
  • Learning & Development Platform
  • Paid volunteer day
  • Free daily coffee, tea, juices, smoothies
  • Free daily catered breakfast
  • Massage Wednesdays
  • Team lunches & Friday happy hour
  • Fun office environment (pool tables, table tennis, gaming consoles)
  • Cold drinks & snacks

Job Details

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 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:

  • 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 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.

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About The Company

Easygo is a well-established global tech startup, we pride ourselves on being early adopters, progressive in our approach and adaptable to the ever-changing technology landscape. Our core focus is in the online gaming space building well-designed casino games, crypto platforms, and sportsbooks built on our "provably fair"​ algorithms. The products we build are used by millions of people around the world including Drake and you’ll see their logos on an EPL team, the UFC, advocated by e-gamers and in a number of other sporting places.

The last 2 years have been huge for us, we have grown from 20 to 100+ team members. Whilst the products that we build are global we have two amazing offices in the same building in the heart of the CBD with all the bells and whistles you could ever want. Including an in-house barista, pool, and table tennis tables, PS5 and Nintendo Switches, a meditation room, help yourself drinks fridge and snack wall, catered breakfast daily, weekly massages and team lunch. 

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