Junior/Middle Data Scientist
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
About the client:
Our client brings the world of artificial intelligence closer to the world through hard-wearing developments in the galaxy OSINT – biometric identification, photo analysis, digital trace tracking, AI agents – what to look for in investigations, evaluations risks in tenders and business security. International OSINT research is carried out, in collaboration with Brave1, Ministry of Digital Transformation and European programs for the development of advanced technologies. The company’s decisions promote the vision and security of Ukraine. The company is united by A-players, who are creating an innovative center without bureaucracy and with a flexible work format, and key security personnel are provided with armor.
About the role:
We are looking for a talented and passionate Junior/Middle Data Scientist to join the team.
Requirements:
– 2+ years of experience of relevant experience (in Machine Learning and Data Science);
– Strong mathematical background (degree from universities like Kyiv Polytechnic, Kyiv National Taras Shevchenko etc.);
– Solid knowledge of algorithms and data structures, strong grasp of OOP principles, and both theoretical and practical understanding of machine learning and deep learning;
– Practical experience working on NLP and tabular data ML tasks;
– Proficiency in Python, including experience with ML libraries and at least one deep learning framework (TensorFlow, Keras, or PyTorch);
– Ability to write clean, efficient, and production-ready code;
– Skilled in translating business needs into ML technical solutions;
– Hands-on experience in feature engineering, version control (Git), and containerization (Docker);
– Experience working with SQL and NoSQL databases to source and prepare data for modeling.
– Strong mathematical background (degree from universities like Kyiv Polytechnic, Kyiv National Taras Shevchenko etc.);
– Solid knowledge of algorithms and data structures, strong grasp of OOP principles, and both theoretical and practical understanding of machine learning and deep learning;
– Practical experience working on NLP and tabular data ML tasks;
– Proficiency in Python, including experience with ML libraries and at least one deep learning framework (TensorFlow, Keras, or PyTorch);
– Ability to write clean, efficient, and production-ready code;
– Skilled in translating business needs into ML technical solutions;
– Hands-on experience in feature engineering, version control (Git), and containerization (Docker);
– Experience working with SQL and NoSQL databases to source and prepare data for modeling.
Nice to have:
– Experience in computer vision tasks or participation in hackathons/Kaggle competitions with strong results;
– Familiarity with Airflow for scheduling and monitoring tasks;
– Understanding of parallel processing in Python and experience with relevant libraries.
– Familiarity with Airflow for scheduling and monitoring tasks;
– Understanding of parallel processing in Python and experience with relevant libraries.
Task examples:
– Enhance the performance of existing CV, NLP, and other machine learning models;
– Develop new models from the ground up — from research and feature engineering to validation;
– Analyze large datasets to extract insights and generate hypotheses for modeling.
– Develop new models from the ground up — from research and feature engineering to validation;
– Analyze large datasets to extract insights and generate hypotheses for modeling.
The company offers:
– Competitive option stock & salary-based compensation.
– Remote work.
– Paid vacation and sick leaves.
– Remote work.
– Paid vacation and sick leaves.
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