Data Scientist

What You'll Do

• Translate ambiguous business problems into measurable analytical components involving developing Statistical, Machine Learning models and simulation tools.
• Research and implement model frameworks/techniques/methodologies to continuously improve the way of evaluating and monitoring player lifecycles, engagement, retention and payment trends, etc. in our games.
• Write advanced SQL queries to extract/format data as well as use Python/ R to do exploratory analysis and develop models.
• Translate computational solutions/statistical/ML models to implementable codes (mainly Python) and work with ML engineers to put the developed models into production.
• Produce Model KPIs for monitoring the model performances post production to ensure the models work as expected.
• Construct recommendations and strategic/tactical plans based on business data and market knowledge.
• Collaborate with other related teams on Data Science and big data projects.

What We're Looking For

• Ambiguity - able to deal with moderate levels of ambiguity by bringing clarity to the problem and communicating plans toward a solution with both technical and non-technical people.
• Communication - able to talk, write, and listen effectively (in English) with business peers.
• Business Acumen - understand key divisional business drivers, follow important game KPIs, familiar with key competitors.
• Self-directed - suggest changes to high value process improvements, drive initiatives independently, maintain status updates, deliver project work in a timely manner with little supervision.
• Analytical - experience with statistical and machine learning techniques, high degree of intellectual curiosity.
• Good understanding of visualisations techniques and tools

About you:

• Typically have 2+ years of related work experience.
• Bachelor/Master/PhD degree in a relevant technical field, or equivalent experience in a relevant role (Ideally Economics, Statistics, Mathematics, Analytics, Physics)
• Experience in using Python and SQL. R-users are welcome but intermediate level of Python is required for this job due to the model productionalisation process.
• Experience in working with large data sets, experience with moving computation towards the data layer.

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, Gdańsk, 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 person's 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 customer's perspective - be it players or internal customers.

  Improving their experience and joy is what drives us. Every client's success is our big win!

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