Middle Data Scientist LLM

WaveAccess is looking for a Data Scientist to join our team and work on diverse projects for international clients. You can solve real-world business problems using various data science techniques, modern technology stacks, and advanced methodologies.

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

• Work with multiple data sources - collect, clean, analyze, and interpret data to provide valuable insights (incl. semi-structured document data)
• Build end-to-end data processing pipelines in Dataiku (datasets, recipes, scenarios) with reproducible results
• Extract and normalize information from documents - parse PDF and DOCX, handle noisy layouts, tables, and mixed structures
• Formulate and defend hypotheses to address complex business challenges; run offline experiments and interpret results
• Develop and implement data-driven solutions using Python tools;
• Integrate lightweight LLM prompting when it improves quality;
• Implement agentic solutions
• Collaborate closely with cross-functional teams to understand client requirements and deliver impactful results
• Present achieved results clearly - metrics, limitations, next steps, business value

• At least 3 years of commercial development experience
• English - B2 or higher (Upper Intermediate)
• Proficiency in Python and practical experience with pandas and other standard data science tools
• Experience with LLM/RAG (pragmatic, lightweight implementations; evaluation and safety/quality checks) and Agentic systems
• Experience with document/text data processing in applied tasks (PDF/DOCX extraction, normalization)
• Experience in presenting achieved results (both technical and business stakeholders)
• Familiarity with classic machine-learning approaches and algorithms (scikit-learn)

Technical Skills:

• Python
• LLM/RAG
• LangChain (light usage - prompt orchestration / calling LLMs)
• Agentic systems (tool/pipeline orchestration patterns)
• pandas
• scikit-learn (sklearn)
• Classic NLP stack
• Basic SQL

Preferred Experience:

• Experience with production workflows in Dataiku (scenarios, automation, monitoring, packaging)
• Experience using data visualization tools to communicate insights effectively (Python or Dataiku)
• Familiarity with deployment and version control tools like Docker and Git
• Experience working in Agile development environments

• Employment according to the Labor Code, including 100% payment of sick leave and vacation
• Medical coverage (DMS)
• Democratic leadership, flexible start of the working day
• Corporate training programs
• Abundant opportunities for self-realization, professional and career growth