Middle Data Scientist

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.

Responsibilities:

• 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

Requirements:

• 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

What We Offer:

• Work in a dynamic international team
• Employment according to labor law, 100% payment for sick leave and vacation
• Opportunity for cooperation through individual entrepreneurship/self-employment
• Participation in foreign and Russian projects
• Health insurance with dental coverage
• Necessary equipment for work
• Corporate training programs
• Broad opportunities for self-realization, professional and career growth
• Democratic approach to processes and flexible start of the workday