Senior Data Scientist

  • Barcelona
  • Product Madness

Job reference

  • R0013188
  • Company Name
  • Product Madness
  • Salary
  • Competitive
  • Location
  • Barcelona, Spain
  • Country
  • Spain
  • Industry sector
  • Programming
  • Job start date
  • ASAP
  • Posted date
  • 01/03/2023
  • Experience Level
  • Mid-Senior Level
  • Job type
  • Permanent | Full Time
  • Remote / Hybrid
  • Yes

Company Summary

Product Madness is a Global Powerhouse where the greatest mobile games and experiences are crafted by world-class talent. A top-grossing leader in free to play mobile games, we have more than 800 team members working across seven global talent hubs including London (headquarters), USA, Canada, Spain, Poland and Ukraine. With remarkable hit games including Heart of Vegas, Cashman Casino, Lighting Link and Big Fish Casino, we boast more than 50 million active users and 400 million downloads and counting.

We are Mad about games and the way they bring people together, and that passion and culture is what brings us together as a studio, connects us with our partners we collaborate with, and is what links us to our sister studios across the world.

Product Madness is an Aristocrat Technologies company within its digital game's division of Pixel United.

Job Posting Title

Senior Data Scientist

Summary

We are expanding our games data science team and are looking to add a Senior Data Scientist our already team of 20+. Your role will focus around turning business questions into actionable insights to improve our mobile games. You will be working on mobile games that are played by millions around the world.

What You'll Do

You will work with large and complex data sets and have the autonomy to make huge impact on the success of our games. You will re search and analyze player behaviour, and come up with recommendations. You will do this by listening to stakeholders, understanding context and challenging business ideas. You will use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling and econometric analysis.

Responsibilities :

  • Discuss with stakeholders requirements for analysis
  • Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
  • Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and tackle problems
  • Communicate results clearly and effectively

You will work with large and complex data sets and have the autonomy to make huge impact on the success of our games. You will re search and analyze player behaviour, and come up with recommendations. You will do this by listening to stakeholders, understanding context and challenging business ideas. You will use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling and econometric analysis.

Responsibilities :

  • Discuss with stakeholders requirements for analysis
  • Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
  • Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and tackle problems
  • Communicate results clearly and effectively

Below are some of our amazing benefits you get for working at Product Madness on top of being able to work on exciting projects and being able to enhance your career.

  • 25 days per year + Christmas closure + BCN Bank Holidays + Birthday off
  • Flexibility of 1 hours at the start and end of the working day + Summer working hours
  • Yearly bonus
  • Fully hybrid working arrangements
  • 50€ Amazon voucher for your birthday
  • 40€ via Uber Eats voucher every month - have a take a way on us
  • WFH allowance of 250€ (one off) to set up your home office
  • Cigna - Medical Insurance for all our employees.
  • GYMPASS - free gym membership
  • Basket of Fruit worth 25€ each month of fruit and veggies sent to your house.
  • Referral Scheme of 5000€ per referral hired (to be paid after successful completion of probation period)
  • Online Yoga training
  • Free Beverage & Snacks in the office
  • 50€ each month for teleworking

What We're Looking For

You will ideally need to bring with you the following skills/experience. Please however don't worry if you do not tick every box. we would still love to hear from you. As you will be provided with an abundance of learning and career growth opportunities.

  • A degree or equivalent work experience in data driven field
  • Experience of using visualization techniques for presenting data and analysis
  • Experience as a mid or senior level Data Scientist
  • Experience of using any of the following to answer business or scientific questions - statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.
  • Experience of using at least one programmi