Data Scientist
Data Scientist
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Job Description
Passionate about leveraging advanced analytics and machine learning across huge amounts of data to drive business value Join our growing Data Science Team!
Whats 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 petabytescale data. The role will work closely with business stakeholders to deliver highimpact 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 and Twist Gaming.
Stake is the worlds largest crypto casino and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with the vibrant livestreaming 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 cuttingedge 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 weve 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 endtoend machine learning solutions to address critical business challenges
- Develop and execute data collection strategies across global data sources
- Collaborate with crossfunctional teams to identify and prioritize highimpact data science opportunities
- Build and deploy scalable ML models that can handle largescale realtime 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 handson data science experience in industry
- Bachelors degree in Computer Science Engineering Mathematics Statistics or related quantitative field
- Strong programming skills in Python ecosystem (numpy pandas scikitlearn)
- 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:
- Masters 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 largescale 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 9000 courses across our Learning and Development Platform
- Paid volunteer day
- Two fulltime 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 everyones 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.
Employment Type
Full Time
