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5 months ago
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Requirements: Confident knowledge of SQL and experience with popular DBMS or distributed data storage systems. Proficiency in Python and the core stack for data analysis and visualization: pandas, numpy, polars, matplotlib, seaborn, altair. Understanding of core NLP concepts and a desire to develop in this direction is highly desirable. Experience in developing ETL and ELT pipelines. Basic Data Science knowledge will be a big plus. Working with data from HDFS and S3, from databases (GreenPlum, OracleDB, PostgreSQL), as well as from file shares and network drives. Preparing data visualizations in Superset and Streamlit. Developing data preparation pipelines for training and testing models. Analyzing data, building and verifying hypotheses using python (pandas, polars) and sql. Engaging in tasks of labeling unstructured data: from designing the labeling process to validating results. Analyzing the performance of existing GenAI/NLP services. RF citizenship.
**Location:**📍RF. Remote.
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