Working on the development of tools, algorithms, and models for monitoring Allegro's selection and price analytics
Preparing analyses and dashboards supporting the work with a broad catalog of products and Allegro's assortment
Preparing business recommendations based on data, impacting the work of teams
Analyzing large data sets in search of regularities and correlations that affect the company's key areas
Thanks to the results of your analysis, we can improve both the shopping experience of Allegro customers and the results of our sellers
Why should you work with us?
We work on an interesting project requiring the combination of various competencies, both technical and business
Our team includes specialists from various fields of data processing - analytics, ML, algorithms, data processing construction
Data-driven management is our daily practice and Big Data - a reality, not an empty slogan (several petabytes of data)
The collections you will work on fuel hundreds of data processing processes
We use an innovative tool ecosystem (SQL, Python, Google Cloud, Spark, Tableau, Druid)
We are building a team of data experts who share knowledge at many technology conferences
We are looking for people who:
Can identify a problem and propose an effective solution, as well as communicate analysis results and recommendations in an interesting and intuitive way
Have at least 2 years of experience in analyzing large volumes of data and can combine data from many different sources
Are well-versed in SQL
Welcome knowledge of or interest in learning Python
Are interested in developing in the area of creating Machine Learning models
Know how to select statistical techniques and data visualization methods appropriate to the research problem
We offer:
, and apart from that, among others:
Modern office and work tools
An informal work atmosphere in a professional team
A rich package of non-wage benefits in the cafeteria system - you choose what you use
English language lessons with a teaching program designed for engineers, paid for by us
Training budget, hackathons, team tourism and an internal training platform MindUp