Data Scientist in Algomine

Technology stack: Open-source: Python, experience working in notebooks (Jupyter, Zeppelin), Spark(PySpark), Libraries: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (welcome: Keras, PyTorch, TensorFlow, Optuna) We offer: Participation in diverse and technologically advanced projects Private medical care and sports card Flexible working hours and the possibility of hybrid work Integration meetings and unforgettable company events No dress code Requirements Higher education with a specific profile: econometrics, quantitative methods, mathematics, IT Min. 2 years of experience as a Data Scientist / in implementing commercial analytical projects (prediction, classification, segmentation, recommendation models, optimization, NLP) High data processing skills (SQL, Python: pandas, numpy, pyspark, polars) Good knowledge of machine techniques and algorithms learning and their implementation in Python Very good knowledge of the Python language, including object-oriented programming, code optimization Knowledge of good programming practices (code review, CICD) Good communication, ability to dialogue with business, present complex concepts Welcome Experience in the field of advisory and consulting / in work for various external or internal clients (e.g. analysis department in the company) / experience in several industries Experience in end-to-end projects: from design to implementation Experience in implementing projects in the areas of: NLP, LLM, GenAI Knowledge of tools for processing large data sets (Apache Spark) Knowledge of at least one environment cloud: AWS, Azure, GCP Technology stack: Open-source: Python, experience in working in notebooks (Jupyter, Zeppelin), Spark(PySpark), Libraries: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (welcome: Keras , PyTorch, TensorFlow, Optuna) We offer: Participation in diverse and technologically advanced projects Private medical care and sports card Flexible working hours and the possibility of hybrid work Integration meetings and unforgettable corporate events No dress code [Design and implementation of solutions using machine learning, Independent work on analytical and consulting projects, Close cooperation with the client, process analysis, requirements collection, Conducting exploratory analyses, Prototyping analytical solutions (learning models, testing approaches), Development and deployment of production solutions, Presentation of concepts and business cases, discussion obtained results, Evaluation of new technologies, libraries, approaches and proposing innovative solutions] Вимоги: SQL, Python, NLP, Cloud, Apache Spark, AWS, Azure, GCP Бонуси та переваги: ​​Sport Subscription, Private healthcare, Integration events, Flat structure, Small teams, Free coffee, Shower, No dress code, Modern office.