Proficiency in Python for numerical and mathematical computing, Hands-on experience with Pandas, NumPy, and SciPy, General knowledge of statistics, probability, and Bayesian networks, At least 5+ years of experience in software engineering or data science (preferably a hybrid SE/DS profile or a DS with a strong engineering background), Experience working directly with data scientists, translating Jupyter notebooks into production-ready software, Knowledge and application of best practices in ML, data science, and general software engineering, Strong communication skills and the ability to collaborate effectively, Bash scripting experience, Strong knowledge of Git and GitLab CI/CD, Experience with AWS or other cloud platforms, Knowledge of time-series analysis, Experience with DataOps / MLOps, Ability to work smoothly with both technical and economic/statistical teams, Excellent communication skills in a geographically distributed team, including pair programming and collaborative work, BS/MS degree in Computer Science, Engineering, or a related field

sharing the costs of sports activities, private medical care, life insurance, remote work opportunities, integration events