About our Team

As one of the largest AI teams in Europe, we work with Big Data, recommendation systems, audio intelligence, computer vision, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources. We implement ready-made solutions into the products used by hundreds of millions of people all over the world. The results of our work get published, tested in international scientific contests, and deployed in products used by hundreds of millions of people worldwide.

Role and Responsibilities

Processing, analyzing and exploring various data types

Analyzing data sets to discover trends and patterns that can be translated into business insights

Building models predicting future data and analyzing anomalies

Exploring user behavior to determine their segments

Technologies in use

Python

Big Data & Cloud Technologies: PySpark, Hadoop, AWS

ML/DL frameworks: PyTorch, Pandas, SciPy ecosystem, Keras, Tensorflow

Skills and Qualifications 

BSc (last year students welcome) in Computer Science, Mathematics, Statistics, or related fields

Programming skills in Python

Experience with data cleaning, parsing, and feature engineering

Familiarity with ETL process

Analytical, data-driven mindset

Good command of English in speech and writing allowing free communication

Nice to have

Experience with Python scientific libraries, e.g.: Numpy, Pandas, Scikit-learn

Knowledge of Machine Learning, Data Modeling and Predictive Analytics algorithms

Experience with AWS Compute or GCP platforms 

Ability to access data using SQL queries

Experience with data visualization tools e.g.: Tableau, Grafana

We offer

Team:

o   Friendly atmosphere focused on teamwork

o   Wide range of trainings and a huge support in developing algorithmic skills

o   Opportunity to work in multiple projects

o   Working with the latest technologies on the market 

o   Monthly integration budget

o   Possibility to attend local and foreign conferences

o   Flexible working hours 

Equipment:

o   PC workstation/Laptop + 2 external monitors

o   OS: Linux

Benefits:

o   Private medical care (possibility to add family members for free)

o   Multisport card

o   Life insurance

o   Lunch card

o   Variety of discounts (Samsung products, theaters, restaurants)

o   Unlimited free access to Copernicus Science Center for you and your friends

o   Possibility to test new Samsung products

Location:

o   Office in Warsaw Spire near Metro station

Attractive relocation package