Data Scientist (Advanced Analytics)

Key Skills

Aartificial intelligence, Big Data Technology, Data Analytics, Data Mining, Data science techniques, Deep Learning, Design, Employee life cycle, Machine learning techniques, Natural Language Processing (NLP), Statistics

Job Description

WE ARE

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science, and Experience Design.We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence, you will receive a chance to contribute to a wide range of projects in different areas, domains, and technologies.

IF YOU ARE

• A holder of a Ph.D. or Master's Degree in Computer Science, or a related field
• Proficient in Applied Statistics and Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
• Knowledgeable of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
• An expert in more than one Data Science Specialization: NLP, Time Series Analysis, Recommender Systems, and others
• Experienced with Machine Learning operationalization processes
• Accustomed to complex projects where independent judgment is used within a broad range of defined procedures and practices
• Aware of AI projects Software Development LifeCycles
• Skilled in Big Data solutions and advanced data tools in Cloud Platforms (nice to have)
• Building and operationalizing Machine Learning models: data manipulation, experiment design, developing analysis plans, and generating insights (would be a plus)
• Easily translating complex concepts in a meaningful way to make a non-technical audience understand
• Fluent in English (C1) to cover presentations and verbal and written communication

AND YOU WANT TO

• Implement and support predictive models
• Apply Data Mining techniques
• Provide analytical support in the pipeline of Machine Learning models operationalizing process
• Work with the Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline including deep analysis of customer data, modeling, and deployment in production
• Provide decision-making regarding relevant computational tools for study, experiment, or trial research objectives
• Create clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
• Present results directly to stakeholders and gather business requirements
• Compile and interpret analysis results as well as contribute to the proposals and architecture vision delivered to the customer

TOGETHER WE WILL

• Extend your skill set and gain practical experience by cooperating with Top Data Scientists in the company
• Participate in international events
• Get certifications in cutting-edge technologies
• Have the ability to work with the latest modern tools and technologies on different projects
• Have access to strong educational and mentorship programs
• Communicate with the world leading companies from our logos portfolio
• Work on different projects with a flexible schedule