Senior Data Scientist (NLP)

Unicheck's R&D team is looking for Middle Data Scientist with NLP background to help us create new solutions for the product.  

Unicheck is an international project developed as a complex plagiarism detection solution for all sorts of academic institutions around the world.

Who we are?

• We are an ever-growing international project with plenty of space for personal and career development.
• Our team builds a community-driven product meaning our product roadmap is being shaped by the actual needs of our users.
• Unicheck is a highly popular anti-plagiarism solution with almost 3 mln, active users, worldwide.
• Unicheck is not solely a plagiarism detection tool. We have several AI-charged products on board aiming at streamlining educators' routines.
• Everyone's opinion matters and is heard. By combining our expertise, we always come to the best possible solution.
• Proactive professionals who are passionate about what they do are at the core of our society and are very welcome to join the team.

Why join Unicheck?

• Opportunities for leveling up your knowledge and skills through challenging projects and tasks;
• The freedom of creativity - everyone can offer their own vision of the solution to the problem;
• We invest in your personal and professional development - personal development plans, financing courses, and lectures, etc.;
• Initiative is the language we aim to speak - speak out, offer a new flow, get your tools in place, implement;
• We are an open and easy-going community of professionals enjoying each other's company and inviting you to join.

Requirements:

• Previous experience in Software Engineering.
• 5+ years of experience in NLP and 3+ with Python.
• Good practical and theoretical knowledge of Machine Learning and Deep Learning.
• Understanding of classic text processing and embeddings.
• Understanding of unsupervised learning algorithms and Machine Learning metrics.
• Experience with scikit-learn and any of Keras / Tensorflow / PyTorch.
• Knowledge of SQL and experience with relational or NoSQL databases.
• Experience with Git, Linux. Good communication and teamwork skills.

Responsibilities:

• Lead research projects and specific research areas in the company.
• Propose new ideas and directions of research, improvements, technical decisions and best practices.
• Fully cover (develop, maintain and monitor) the entire lifecycle of created models.
• Propose and realize new ideas to benefit our customers and the company.
• Create production-ready solutions, dockerize them, launch MVPs, help DevOps Team to deploy them.
• Share knowledge, ideas and new approaches with team members.
• Stay up to date with the latest findings in applied data science.

We offer:

• Professional growth opportunity.
• Generous holiday allowance.
• Free English classes.
• Young and friendly team.
• Close-knit family atmosphere.
• Flexible schedule.
• Comfortable and modern office.