AI Data Scientist

AI Data Scientist

Ташкент, Шайхантахурский район, Международный деловой центр Tashkent City

Описание вакансии

Responsibilities:
  • Build and validate predictive / ML models for demand and sales forecasting, promo response, price elasticity and scenario (what-if) analysis.
  • Deliver commercial and customer analytics: segmentation, ABC-XYZ, RFM, LTV, churn, cross- and up-sell, assortment and price-matrix analysis.
  • Design and ship GenAI and agentic solutions — document processing (OCR/NLP), retrieval-augmented generation (RAG) over corporate data, copilots and assistants for business and process tasks.
  • Automate routine analytics and reporting through LLM agents and scripting, cutting manual effort across the function.
  • Apply process mining to map business processes, surface bottlenecks and control gaps, and measure cycle KPIs (touchless / STP, first-time-right).
  • Co-design process automations with the Business Process and functional teams; translate findings into clear functional requirements.
  • Build and maintain data pipelines and integrations with source systems (ERP K-Soft / 1С, Qlik Sense); prepare data marts, features and clean datasets.
  • Deploy models into production, monitor performance and retrain; embed model outputs into business processes and Qlik Sense dashboards.
  • Translate ambiguous business questions into well-scoped analytical problems and communicate results to non-technical stakeholders.
  • Document models, data flows and technical specifications; ensure reproducibility and knowledge transfer.
  • Train and support users on analytical tools and AI-assisted workflows.
  • Research and pilot new methods, models and tools; propose where AI/ML creates measurable business value.
Requirements:
  • 5+ years in data science, machine learning or advanced analytics, with models taken to production.
  • Strong Python (pandas, scikit-learn, and ML/DL frameworks) and SQL; solid data-engineering fundamentals.
  • Hands-on with GenAI / LLMs and agentic tooling — prompt design, RAG, orchestration and evaluation.
  • Practical command of BI / visualisation (Qlik Sense or Power BI) and of integrating models with ERP / analytics systems.
  • Proven commercial or sales analytics and/or business-process analytics (segmentation, forecasting, process mining, automation).
  • Industry, retail or distribution domain experience is an advantage.
  • Education: higher degree in a quantitative field (data science, computer science, mathematics, statistics or engineering).
  • Languages: Russian C2; English B2/C1 (professional working proficiency).
Conditions:
  • TBD based on interview results
Навыки
  • Английский язык
  • RAG
  • AI
  • LLM
  • ML
  • Python
  • BI
  • ERP Systems
  • Русский язык
  • Визуализация данных
  • Алгоритмы и структуры данных
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