• Data Science related problems for different business domains
• Implementing and supporting predictive models
• Applying Data Mining techniques
• Providing analytical support in the pipeline of Machine Learning models operationalizing process
• Communicating with the world-leading companies from our logo portfolio
• Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline includes deep analysis of customer data, modeling, and deployment in production. It also includes decision-making regarding relevant computational tools for study, experiment, or trial research objectives
• Production of clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
• Presenting results directly to stakeholders and gathering business requirements
• Compiling and interpreting analysis results as well as contributing to the proposals and architecture vision delivered to the customer

Чем Вы должны обладать

Обязательно

• Ph.D. or Master’s Degree in Computer Science or related field
• Practical experience and extensive knowledge in Applied Statistics and Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
• Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that non-technical audience can easily understand
• Strong knowledge of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
• Expertise in more than one Data Science Specializations such as NLP, Time Series Analysis, CV, Recommender Systems, and others
• Understanding of Machine Learning operationalization processes
• Experience in working on complex projects where independent judgment is used within a broad range of defined procedures and practices
• Comprehension of the concept of Software Development Life Cycles of AI projects
• Upper-intermediate English level or higher
• Knowledge in Big Data solutions and advanced data tools in Cloud Platforms
• Hands-on experience in building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
• Advanced proficiency in programming software such as Python, R, C++, Scala, and others
• Strong interpersonal, analytical, and problem-solving skills to lead teams of data scientists and software engineers to successful project execution