MGID is a global innovative pioneer in native advertising that drives revenue growth for all participants of the ecosystem.
10 марта 2020

Data Scientist (вакансия неактивна)


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 offers a range of integrated solutions covering the promotion process every step of the way; we offer services ranging from planning out the marketing strategy to its thoughtful implementation and optimization. Our clients include major international brands like Renault, Domino’s, airbnb, PizzaHut, Qatar Airlines, and many others, including media organizations and web agencies.

MGID is:
— One of the largest MarTech-companies in the Ukrainian market;
— A proprietary Highload service that delivers 185 billion advertisements to 850 million unique users in more than 60 languages;
— The winner of multiple AdTech awards for innovation and product quality;
— A workforce of 500+ employees operating from offices in the US, Europe and Asia;
— A passion for cutting-edge technologies and a seamless vertical structure that allows the regional teams to exchange skills and development practices.

Your main duties:
— Develop new models for different recommender systems within our product (classification, clusterization etc.);
— Research, patterns identification and formulating insights;
— Clean data from noise, find patterns for irrelevant, robot-generated events;
— Identify proper evaluation metrics, make offline/online evaluation and testing for new models;
— Upgrade current models built by using such tools as XGBoost and Vowpal Wabbit;
— Enrich data with new features using first and third party data;
— Develop applications or notebooks for maintaining models (training, usage);
— Identify new opportunities to leverage data science to different parts of the MGID product.

You fit these requirements:
— 2+ years of experience in Machine Learning/Data Science;
— Hands on experience with ML concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
— Professional experience with Python (Scikit-learn, Pandas);
— Understanding of true model validation, p-value and equivalent;
— Good data manipulation skills required including cleaning and managing data

What we offer:
— A career in one of the most ambitious, high-potential IT companies in Ukraine;
— A new comfortable office near the city center;
— A key role in our quest to take over the global digital advertising market;
— A diverse work experience with extensive business trips;
— A ‘Premium’-level health insurance package.