Data Scientist (offline)
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
Skills:
— 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)
— 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
Skills:
— 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)
About Data Science UA
We understand that you need more than just a search engine to find IT and technical professionals or to progress your own career, that is why we established Data Science UA.One place connecting business and developers.
Company website:
https://data-science-ua.com/
DOU company page:
https://jobs.dou.ua/companies/data-science-ua/
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