Senior Data Scientist

SuperScale is the only Growth Platform that is able to deliver extra double-digit growth for leading mobile and web3 gaming companies. Thanks to our proprietary AI technology and expertise we help our partners such as EA, Big Fish Games, Google, LEGO to analyze, optimize and scale business performance of their flagship titles to the levels their products deserve. We believe the key to unlocking the maximum potential of a game is understanding and improving player's experience with data so that it better caters to individual wants and needs.

The Role

The ideal candidate will possess both an ability to do independent research and generate insights from large data sets as well as a hands-on attitude of servicing/managing day-to-day data requests and analyses. Your input to the game development is crucial, and you will be an important part working on either our client's projects or providing insight to our R&D team in order to create new market defining software products.

For which tasks (responsibilities)?

• Develop models for predicting player behavior

• Solve problems by applying data Science techniques, such as machine learning and statistical modelling

• Analysis of key performance indicators, such as retention, lifetime value and player acquisition

• Defining the data acquisition of A/B tests and analysis of the gathered A/B test data to estimate the effect on key metrics and provide recommendations

• Work with product teams to define data to be collected from our products for analysis

• Answer in-depth analytics questions from the team and create reports of the results

What kind of professional are we looking for?

• M.Sc./Ph.D. in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science)

• Experience in a data scientist or analyst role, involving some of the following: data analytics, CRM data analysis, data mining, business intelligence, machine learning, predictive analytics.

• Solid knowledge of (statistical) programming languages (such as R, Python, etc.)

• Advanced knowledge of SQL

• Comfortable working in an international, fast-paced, challenging and stimulating organization

• Communication skills: Being able to compile and translate data, numbers and analyses into normal English, and present findings to non-technical audiences

• Experience in feature engineering and model design for machine learning

• Experience in interpreting data and analytics results to provide actionable insights into user/product behavior and deriving conclusions from those insights

In this position we offer monthly gross salary from 3500 EUR. The final amount will strongly depend on your seniority, experience and skills.

What are the conditions and bonuses?

Full-day day meals

Full day tasty and rich meals including breakfast, lunch and afternoon snack at your disposition every working day

Hybrid model

Do you prefer working from home, offices or a combination?

Gym

Free gym and showers at the offices

Flexible working hours

You may organize your work time as you need to deliver great results

COVID testing

We provide free Covid PCR testing.

Bike room

For those friendly to the environment