data scientist



Whether you are a gameplay or a physics expert, a graphics or networking specialist, or just a great engineer, there will be always ways to stand out in our next big game.

Responsibilities:
– Analyze performance of the products, create methods and analysis tools to keep eye on the performance of products in different markets;
– Use the previous item to changes games and features in the venues, maxing the performance of each product;
– Create strong relationships with stakeholders, expanding data driven culture in the company;
– Propose solutions to our products, concerning their performance in each market;
– Give accurate data to operations in order to achieve the best results in a long term;
– Along to local managers, develop strategies to maximize performance of the products – new features, release of games, …
– Create value by generating meaninful insights using business intelligence tools;
– Available to travel to different countries such as Spain, Philippines and Mexico.

Expected:
– Bachelor’s degree in Business, Engineering, Math or related fields;
– Deep knowledge in ETL processes and machine learning techniques for predictive analysis (linear classifiers, svm’s, knn’s, random forest, neural networks, …);
– Create advanced data analysis and visualizations for distinct groups of stakeholders;
– Deep knowledge in Python applied to data processing and visualization (mathplotlib, sklearn, plotly, seaborn, pandas).

Valued:
– Create ingestion pipelines and visualizations with ELK stack (elasticsearch, logstash and kibana);
– Automate processing pipelines using Apache Airflow;
– Experience with docker is a plus;
– Willing to learn the concepts of the gambling industry;
– Experience in travelling or living abroad.

We have:
– Dynamic team integration focused on project delivery
– Lots of work (comes with free coffee, fruit and snacks!)
– Career Evolution
– Mentoring and Talent Development programs
– Soccer and Volleyball
– Power ups
– Health Insurance

Empresa: Fabamaq
Local: Porto
Tipo: Full-time;


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