Data Scientist (Advanced Analytics)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

WE ARE

At SoftServe, we are advisors and providers who operate on the cutting-edge of technology. With you, we set goals and reach them to grow better together, learning from both successes and mistakes. We are a team of 13,000+ thinkers and makers in more than 30 offices worldwide, true professionals and good people, who like what we do and do it well.

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 have a chance to contribute to a wide range of projects in different areas and technologies. We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!

YOU ARE

A Data Scientist who will help us to discover the hidden information in vast amounts of data and make smart decisions to deliver even better products with such skills and experience as

• Ph.D. or Master's Degree in Computer Science or related field
• Applied Statistics and Data Mining knowledge 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
• Solid knowledge of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
• Deep Learning techniques application skills and in-depth knowledge of all mandatory technical and logical areas of the practice to utilize them successfully
• 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
• Working on complex projects where independent judgment is used within a broad range of defined procedures and practices
• Understanding of SDLC of AI projects
• Upper-intermediate English level or higher

Your extra power is

• Knowledge of 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

YOU WANT TO WORK WITH

• 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
• Solving AI problems with application to Predictive and Prescriptive analytics techniques

TOGETHER WE WILL

• Operationalize our clients AI solutions by leveraging best practices in DevOps, Machine Learning, and Solution Architecture
• Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Participate in international events
• Get certifications in cutting-edge technologies
• Have the possibility to work with the latest modern tools and technologies on different projects
• Get access to strong educational and mentorship programs
• Communicate with the world-leading companies from our logo portfolio
• Work as a consultant on different projects with a flexible schedule