Operating system, Windows
About the project, 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.
Your responsibilities, 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
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, Aware of AI projects Software Development LifeCycles and experienced with MLOps processes, Experienced in the deployment of AI solutions to at least one cloud environment (AWS, GCP, or Azure), Accustomed to complex projects where independent judgment is used within a broad range of defined procedures and practices, 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
What we offer, Establish trust and build relations with many stakeholders, Have a multicultural team with an open IT mindset rather than a ‘banking type’, Be able to propose and implement solutions, Support your technical and personal growth – we have a dedicated career plan for all roles in our company, Share many other advantages: attractive salary, modern office, a package of benefits, language classes and more
Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, extra social benefits
TOGETHER WE WILL, Gain certifications from leading providers (Google, AWS, Azure, NVIDIA & others), Participate in international events, Have the ability to work with the latest modern tools and technologies on different projects with a flexible schedule, Have access to strong educational and mentorship programs, Collaborate with the world-leading companies from our logos portfolio
SoftServe, SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
This is how we work,
Natural language processing (NLP) Time Series Analysis Data Science Amazon Web Services (AWS) cloud-platforms Azure Big data MLOps Google Cloud Platform (GCP) deep-learning data-mining Windows Machine Learning