Mid Data Scientist

📋 Description Conduct exploratory data analysis to identify patterns, trends, anomalies, and opportunities. Perform feature engineering and prepare high-quality datasets for analytical and machine learning Build, train, tune, and validate supervised and unsupervised machine learning models. Apply statistical and probabilistic methods, including hypothesis testing, inference, and Define appropriate evaluation metrics and validation strategies, including cross-validation and Use experimentation and model management tools such as MLflow, Weights & Biases, or Databricks 🎯 Requirements 3–5 years of professional experience in data science or a closely related environment. Experience building and deploying production-level machine learning models. Degree in Mathematics, Computer Science, Machine Learning, or a related field. Strong proficiency in Python, including NumPy, pandas, and scikit-learn. Basic knowledge of PyTorch or TensorFlow. Strong experience with exploratory data analysis and feature engineering. 🎁 Benefits 100% remote work opportunities. Flexibility to work from the location where you are most comfortable and productive. International career opportunities and exposure to global projects. Collaboration with teams and projects across multiple international markets. Professional growth in a dynamic and collaborative technology environment. Opportunity to work on diverse Data, analytics, and machine learning projects.