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Data Scientist, London

Aristocrat
London
1 month ago
Applications closed

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Data Scientist
You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statistical analysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams.

Why this role?
An opportunity for a Data Scientist to work with large and complex data sets,
with the autonomy to make a huge impact on the success of our games. The
Data Scientist will work as part of an experienced and highly skilled team of 20+
with opportunities to learn and develop.

What Will You Be Doing?
Use simple analytics, causal inference, machine learning or any other
techniques to understand how users move across apps in our portfolio
Based on your analysis/modelling, make recommendations for optimal
cross-promotional and user acquisition strategies
Through dialogue with the business teams, formulate questions and
projects that lead to improved efficiency in marketing and customer
support

What Were Looking For
Strong SQL Experience
Experience coding in Python or R
Experience in building forecasting models / doing causal inference /
segmentation
Ability to explain ideas and present results to non-technical audiences
Strong stakeholder management skills
Experience with marketing mix models and/or Bayesian time series would
be a big plus
Strong theoretical understanding and experience with key classification
and regression models is a plus
Please note this role is offered on a hybrid work basis, with a minimum of 2 days a week required in our central London office.

Why Product Madness ?
As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino.
With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gda sk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day.
But don t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the Employer of the Year - Media and Entertainment category.
So, what s stopping you?
Our Values

People First
We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each persons voice will always be heard and addressed.

MAD for More
Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world s best games company.

Champion Together
We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

Globally Inclusive
We are all Equal - regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

Customer Focused
We always think from the customers perspective - be it players or internal customers.
Improving their experience and joy is what drives us. Every clients success is our big win!

Travel Expectations
None Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

SQL, R,

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