The Content Platform plays a key role in the eMAG eco-system as it is responsible for all the content and structure of the eMAG product catalog.
This means developing tools and applications that allow for the gathering, storing, structuring, and processing of all the data required for a product to be on sale on the eMAG platform (title, description, photo gallery, specifications, filters, unique identifiers, etc.)
In our Content Platform team, we are looking for an experienced Data Scientist for challenging and exciting projects. As part of the Content Product team, you will be responsible for projects like :
Building Content Management Systems storing tens of millions of products in multiple languages;
Automated translations between multiple languages, using machine translation;
Building content review and moderation solutions using machine learning algorithms and computer vision to automate the process;
Integrating complex flows across a multitude of internal and client-facing apps;
Key Functional Areas of Responsibility
Define and execute data science solutions that address client use cases and business requirements;
Work with product owners and development teams to integrate data science solutions in complex projects;
Define activities, scope, and timelines on data science project;
Discover, interpret and document unique insights in large-scale datasets through exploratory analysis and the application of advanced analytical methodologies;
Create statistical and machine learning models in multiple technologies using best-in-class data science approaches;
Evaluate and monitor the performance of ML solutions after deployment in production;
Bachelor’s or Master’s degree in a related discipline (Mathematics, Statistics, Computer Science or Data Science);
2 to 4 years of related work and / or research experience in similar roles;
Knowledge of programming languages like Python or R
Experience with SQL and NoSQL databases
Data manipulation techniques to reformat raw data into something useful
Experience with common data science toolkits
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.
and experience with applications
Advanced ability to perform exploratory data analysis
Analytical and problem-solving skills
The Perfect Candidate
Solid understanding of the value of data and how technology enables companies to compete better in the market place;
Ability to build data pipelines from data acquisition to training and validation of ML models;
Ability to work independently and with team members from different backgrounds;
Ability to communicate complex data in a simple, actionable way for both technical and non-technical audience;
Grow Faster. Grow Higher.
We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG.
We grew very fast and we are determined to keep doing so. What brought us here is our desire of continuous evolution and practical results.
Over 5200 people are working now in eMAG. We strongly believe in people development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning.
We want to make sure that you’ll have the most talented colleagues, as well as the proper environment to grow and achieve great results, to become what you desire on a personal and professional level.