Position: Data Scientist
Company: MGID
Experience required: 3y
English level: upper

**MGID** was founded in 2008 and is one of the leading companies in native advertising. We enable our media partners to monetize their audience and help brands to promote their services and goods effectively.

**MGID** provides publishers with monetization and optimization tools that help them to maximize their user experience alongside monetization.

**MGID** works with more than 32k content websites with more than 850M unique visitors monthly.

**You will have an opportunity:**
-Working with the team of professionals in AI and Advertising field
-Develop State-of-the-Art ML models via modern stack of technologies and freedom of action
-Working with 15 billions+ events per day
-Directly have a huge impact on product & business development

**What tasks the candidate will work with?**
-Research, develop and maintain State-of-the-Art models for tabular, image and text data;
-Solve non-trivial ML tasks: recommendations for high-load systems, clustering complex data, hierarchical classification, business metrics optimization, etc;
-Using various data engineering techniques: data cleaning and normalization, data transformation, data mining of new features, etc;
-MLOps: deploying, maintaining and optimization of developed models;
-Analyze and identify patterns, formulate hypotheses and insights;
-Visualizing complex data for the better interpretability by stakeholders;
-Conducting and evaluating A/B tests.

**Job requirements**
-3+ years of experience in ML engineering / Data Science;
-Deep understanding of Machine Learning / Deep Learning;
-Advanced Python and SQL skills for transformation complex data;
-Experience with Tensorflow / PyTorch / Keras;
-Strong experience with big data processing technology stack (Spark, Hadoop, etc.);
-Experience with at least one of the visualization libs/tools (seaborn, plotly, Tableau, PowerBI, etc.);
-Understanding of ETL/ELT pipelines;
-Strong communication and critical thinking skills;
-English: Upper-Intermediate/﻿Advanced.

**Will be a plus:**
-The ideal candidate holds a MSc or PhD in Engineering, Statistics, Mathematics or related fields;
-Domain knowledge in **AdTech** - understanding of online advertising, RTB systems, know the difference between DSP, SSP and DMP;
-Hands-on experience with NLP and CV technologies;
-Participation in Kaggle.