The primary focus will be work on Data Science related problems across various industries, including Digital Media and Retail to create, implement and support machine learning models, applying data mining techniques, building high-quality prediction systems integrated with our products, communicating with the world leading companies from our logos portfolio.  

 

Requirements:

– BS/MS/Ph.D. degree in computer science or related

– Strong analytical and quantitative skills

– Extensive knowledge and practical experience in Machine Learning, Data Mining, Recommender Systems, and Computational Advertising

– Strong experience with Natural Language Processing and/or Computer Vision

– Understanding of modern machine learning techniques and algorithms, such as random forest, neural networks, nearest neighbors, k-means etc.

– Practical experience with high-level programming languages and framework – Python and/or R

– Experience with data visualization tools, such as ggplot2, plotly, matplotlib

– Proficiency in using database query languages such as SQL and understanding of the ETL process – Understanding of the software development process, Agile approach, and CI/CD – Upper-Intermediate English level or higher (oral/written)  

 

Responsibilities:

– Research, design and implement machine learning algorithms for Media and Retail industries

– Apply data mining and artificial intelligence techniques to design complex analytical solutions

– Visualize data in an interactive way

– Automate manual processes and optimize data pipelines

– Perform technology and scientific consulting

– Work with and alongside business and technical stakeholders to identify solution requirements, business goals, and expected outcome

– Perform R&D and feasibility studies, communicate results and methodologies

– Deliver rapid prototypes and proof of concepts that demonstrate real value

– Communicate results, technical constraints, and decisions to the business and non-specialists

– Create and deliver progress reports, slide decks, proposals, and documentation

Share