Data Scientist


WaveAccess is an international results-driven company that provides high-quality custom software development services for hundreds of emerging and established companies globally. By supporting customers with talented software engineers and also vast experience in advanced technologies, WaveAccess builds innovative software solutions while minimizing development risks and costs.

Throughout its 21-year history, the company’s highly skilled specialists have implemented over 500 successful projects for market leaders, ambitious startups, and government institutions.

Currently, we are looking for a Data scientist to make the team even stronger.

Required Skills and Experience:

  • Relevant education and commercial development experience
  • Confident knowledge of machine learning basics
  • Python development experience
  • Basic knowledge of working with databases, confident knowledge of SQL
  • Knowledge of data visualization tools (Plotly, Matplotlib, Seaborn, Bokeh – as an advantage)
  • Knowledge of mathematical statistics at the level of a graduate of a technical university
  • Knowledge of statistical inference methods

Nice to Have:

  • Deep knowledge of ML basics, working with data, specific ML directions (CV, NLP, Time-Series, Recommendation Systems)
  • Experience in working with other languages (Java, C++, R)
  • Knowledge of software engineering techniques (version control, debugging, refactoring, etc.)
  • Knowledge of technologies for integrating ML solutions with backend, orchestration and optimization of computing (Docker, Kafka, Kubernetes, Spark, etc.)
  • English knowledge from level B2+
  • Advanced Linux User
  • Experience in working with any of the BI tools (MS Power BI, Tableau, Data ic, etc.)


  • Work with multiple data sources: collecting, purificating, studying, analyzing data
  • Form and defend hypotheses for solving clients' business problems
  • Engage in the selection and training of machine learning models

We offer:

  • Various projects for international clients on modern technology stack
  • Friendly team and enjoyable working environment
  • Regular assessments and salary reviews


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