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Data Scientist
1 year ago
Summary
You will join us as a data scientist to work with large and complex data sets, with the autonomy to make a huge impact on the success of our titles. You will work as part of an experienced and highly skilled team with opportunities to learn, develop and advance your career.
You will be working on our core/game performance team with a large focus on machine learning. You will create new as well as improve existing models around customer churn, revenue generation and customer engagement for example.
We are ideally looking for junior to mid level Data Scientists.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.
- Apply a wide variety of statistical and analytical techniques to business problems
- Create valuable insights in support of key strategic business initiatives.
- Apply analytical rigor and statistical methods to data and are comfortable manipulating and analyzing complex, high-volume, and high-dimensionality data from varying sources.
Some of our amazing benefits you get for working at Product Madness
- 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
What do we need from you
- Typically have a few years of related work experience.
- Bachelor/Master/PhD degree in a relevant technical field, or equivalent experience in a relevant role.
- 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.
- Experience in building statistical and machine learning models/techniques, especially at least one of the following types: Linear Regression, Logistic Regression, Random Forest, Gradient Boosting, or Clustering.
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