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.