Roles & Responsibilities

Responsibilities

Generic:

- Work with stakeholders/end users to frame business requirements as tractable mathematical problems

- Data extraction: Query/import data from a variety of sources including but not limited to data warehouses/databases/data lakes

- Data preparation: Restructure, organise and clean data to render it usable within the given context

- Choose appropriately from and execute a variety of data modelling techniques to arrive at effective and succinct solutions/recommendations

- Communicate findings to end users through text, graphics and/or presentations

- Plan for, execute and manage the entire life cycle of projects from conception to well-defined conclusion

- Assist the analyst team in addressing any ad-hoc data-relevant requests from across the organisation

- Work closely with the BI team to ensure that all data requirements for analysis are met

Games specific:

- Have an in-depth understanding of our games/the business

- Play/test different games from our portfolio to better understand how players interact with/react to certain game mechanics

- Perform analysis on various aspects of game performance (e.g. feature hit/take-up rates, wagers, retention) to understand what drives game performance

- Support the Power BI team in creating general game performance review metrics on PBI reports for product curation

- Work with the game development team to design/run AB tests against game attributes/features/themes

- Think independently and critically to provide inputs to game design/development teams on game features/settings

- Might need to spend at least 1-2 weeks a quarter in Taiwan with our Games team to scope out/plan for/discuss/showcase work

Requirements

- Some understanding of (and more importantly, a keen interest in) the casino industry and the mechanics of online gaming, especially with regards to RNG/Slot games

- Minimum 2 years of experience in a data analytics/data science/applied mathematics capacity

- A Master’s or Bachelor’s degree from a relevant discipline (preferably Data Analytics/Science, Mathematics, Applied Mathematics, Statistics, Computer Science, Engineering)

- High level of competency with an analytical language/tool (preferably Python) and a data query language (preferably SQL)

- A strong foundation in probability and statistics (both descriptive and inferential)

- Knowledge of Machine Learning while not compulsory would be a bonus. Familiarity with the core models e.g linear/logistic regression, random forests, neural networks would be useful.

- Adept with algorithm design and implementation

- Experience with empirical analysis i.e experimental design, AB testing, running simulations etc.

- Comfortable with relatively big data. 100 million datapoints in a 100-dimensioned dataset is not uncommon.

- A problem-solver. Identify and solve a range of problems independently and efficiently

- A creative mind. Much of the analysis requires out-of-the-box thinking

- Communication skills (written and verbal) - ability to present findings to senior management

- A team player

- Able to spend at least 1-2 weeks a quarter in Taiwan

- Reasonable confidence and fluency with spoken Mandarin to converse with the teams in Taiwan

Tell employers what skills you have

Machine Learning
Game Development
Big Data
Mathematics
Experimental Design
Game Mechanics
Python
Algorithm Design
Statistics
Simulations
Online Gaming
Ab Testing
Power BI
Applied Mathematics
Business Requirements