Data Scientist in Barcelona

We are looking for a Data Scientist who will help us optimise our user acquisition efforts. Your primary focus will be in doing statistical analysis, building time-series models and using causal inference. You will be working closely with our User Acquisition team to advise them on optimal budget allocation for our hit mobile games.

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 25+ with opportunities to learn and develop.

What Will You Be Doing?

• Use simple analytics, causal inference, machine learning or any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels

• Build or improve existing forecasting models. Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget

• Through dialogue with the UA team and data analysis, formulate questions and projects that lead to improved marketing effectiveness

What We're Looking For

• Strong SQL

• Experience coding in Python or R

• Experience in building forecasting models and/or doing causal inference

• Ability to explain ideas and present results to non-technical audiences

• Ability to build MVPs and iterate quickly

• 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 of 2 days a week in the office, 3 days a week from home.

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.

Perks

• Health insurance - CIGNA
• Gympass gold plan
• 25 vacation days + 1 day on your birthday
• Flexible payment - daycare, transport, etc
• Pension plan 1% base salary
• Food at the office twice a week

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!

Travel Expectations: None

Additional Information