Data Scientist

You will be responsible for applying machine learning techniques to various business problems, such as customer segmentation, churn prediction, fraud detection, or recommendation systems. You will work with large and complex datasets, and use state-of-the-art tools and frameworks to develop, train, and deploy scalable and robust machine learning models. You will also collaborate with other data scientists, engineers, and business stakeholders to deliver data-driven solutions that create value and impact.

A master’s or PhD degree in computer science, statistics, mathematics, engineering, or a related field.

• At least 3 years of experience in data science, machine learning, or artificial intelligence.

• Proficiency in Python and its data science libraries, such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, or Keras.

• Experience with cloud platforms, such as AWS, Azure, or Google Cloud, and their machine learning services and tools.

• Knowledge of machine learning best practices, such as data quality, feature engineering, model validation, and hyperparameter tuning.

• Strong problem-solving and analytical skills, and ability to work independently or as part of a team.