Data scientist in official statistics

DigitStat, a limited liability company under the National Statistics Committee of the Republic of Uzbekistan, invites a specialist with strong analytical thinking skills who is ready to create modern AI and Machine Learning solutions based on statistical data to join as a Data Scientist / ML Engineer (Middle+). DigitStat was established under Resolution No. PQ-103 of the President of the Republic of Uzbekistan dated March 13, 2026, and is the single integrator for the digitalization of the national statistics system.

• Develop, test, and deploy Machine Learning models based on statistical data in a production environment.
• Create time series forecasting models in macroeconomics, prices, and demographics.
• Develop classification and regression models based on data from registers and statistical observations.
• Participate in creating the STAT-AI system based on official statistical data, including working with LLM and RAG architecture.
• Develop mechanisms for indicating the source of official data used in STAT-AI responses.
• Develop AI solutions that work with statistical data in Uzbek and Russian.
• Develop rapid prototypes of AI/ML solutions for the needs of government agencies and corporate clients.
• Carry out feature engineering, model evaluation, and data preparation.
• Work with imbalanced, incomplete, and variable-quality real-world data.
• Manage several Data Science and AI projects simultaneously.

• At least 3 years of practical work experience in Data Science or Machine Learning.
• Confident working knowledge of Python and SQL (PostgreSQL).
• Good knowledge of the Pandas, NumPy, and Scikit-learn libraries.
• Practical experience working with PyTorch or TensorFlow.
• Good understanding of basic statistical methods, including sampling, confidence intervals, hypothesis testing, and time series.
• Practical experience in feature engineering and evaluating ML models (model evaluation).
• Ability to process imbalanced and “dirty” data.
• Experience with Git and understanding of the process of deploying ML models to a production environment.
• Readiness to work with confidential data, such as statistical secrets and personal data, under strict regulations.
• Fluency in Uzbek and Russian.
• Будет плюсом: Experience with LLM, Hugging Face, RAG, LangChain/LangGraph, AI Agents, and Tool Calling technologies; Knowledge and experience with LoRA/PEFT and optimizing models for CUDA/GPU; Experience in Uzbek-language NLP projects, including tokenization and fine-tuning models; Experience with GeoPandas, PostGIS, and QGIS; Experience with ClickHouse or other analytical databases; Knowledge of FastAPI, Docker, MLflow, Airflow, or dbt technologies; Understanding of official statistics methodology, including IFUT (OKED), registers, and census processes; Experience working on Data Science/AI projects in the public sector or at research companies; Understanding of requirements for AI systems in the public sector, including human-in-the-loop and the explainability of model decisions

• Formal employment in accordance with labor legislation.
• Competitive salary in line with the IT market — the final amount will be determined based on interview results.
• Additional bonuses based on the results of completed projects.
• Direct participation in creating AI and Machine Learning products for the national statistics system.
• Work on projects in modern areas such as STAT-AI, forecasting, NLP, and geoanalytics.
• Develop professional experience using large volumes of real statistical data.
• Work in collaboration with a professional Data Science, Data Engineering, and AI team.
• Work schedule: 5/2, 9:00–18:00.
• Work location: 63 Mustaqillik Avenue, Tashkent — National Statistics Committee building.
• A 3-month probation period, with an initial 14-day onboarding program.