Data Scientist
Easygo, Australia
Job Description
About Us:
Easygo is a well-established tech scale up, 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. The products we build are used by millions of people around the world 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 130+ team members. Whilst the products that we build are global, the majority of the team sits in Melbourne at our Australian headquarters in the heart of the CBD where we have 2 amazing offices in the same building 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 a pub lunch.
Role and Responsibilities:
We’re looking for a Data Scientist with a background in Machine Learning to come join our Business Intelligence team. You will be helping refine our current processes as well as implement new ones to address various business problems across our products. We don’t believe the number of years of experience is a key factor in determining skill, so we don’t use this as a minimum requirement, however, with that being said, we are looking for an individual who is at a Mid-Senior level.
- Mine and analyze data from company databases to drive optimization and development of business strategies
- Cooperate closely with analysts and engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
- Design, build and maintain production model pipelines, experiments, and machine learning models
- Work collaboratively with Analysts to support complex fraud investigations and to respond to rapidly evolving threats and implement rule-based analytical solutions
- Implement appropriate ML methods and explain them and their associated benefits and limitations to team members from different departments
Requirements
- At least 4 years experience in a similar role
- Medium to advanced MS Excel skills
- Knowledge of any database and reporting software (preferably Tableau)
- Proficient in SQL and Python or R
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Track record in automating manual processes across a variety of applications
- Demonstrated experience in providing accurate, timely and appropriate advice and updates to clients and stakeholders. This includes presenting sophisticated analytical products to non-technical audiences and senior executives.
Essential qualities and behaviours:
- Strong problem solving skills
- Advanced data analysis skills
- Strong communication skills
- High level of numeracy
- Superb attention to detail
- Ability to prioritize and multi-task
- The ability to work within a team environment or independently
Desirable qualifications:
- Experienced working and conducting machine learning work in a cloud environment
- Experienced in delivering ML models from scratch
- Fraud or Risk Experience.
- Knowledge of Sports and/or Casino terminology.
- Responsible Gaming experience.
- Proficient with Google suite (Drive, Spreadsheets, Docs), Slack, Airtable amp; Intercom
Benefits
- Flexible working hours
- Quarterly team socials, as well as lots of adhoc get-togethers, and things for you to get involved in (if you want).
- $750 to spend on any upskilling/training course that you would like per annum
- Optional flu shots for the entire office and paid time off to get your covid vaccines.
- Catered breakfast and our awesome HR/Office Manager Em will get you literally any snacks you ask for.
- Friday parmas/pub lunch amp; happy hour at 4PM
- Massage Wednesdays, we get a professional in to do these!
- Ping pong table, a games room with PS5 + dartboard are used daily
- Company retreats every year
- 1 paid volunteer day per year
- A full time barista/kitchen manager who will make you coffee's, teas and fresh juices
- A fully stocked help yourself fridge with all the drinks you could possibly want!
And we have many many more initiatives that we will be rolling out over the next 12 months.
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