Junior Data Scientist

• Master of Science in a relevant field such as Computer Science, Engineering, or Data Science.
• 1-3 years of experience applying machine learning techniques to solve complex data problems.
• Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Proficiency in Python programming, and experience working with big data tools such as Spark.
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Strong experience with agile development methodologies and version control tools such as Git.

Preferred Technical Skills:

• Experience working with natural language processing (NLP) techniques.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of cloud computing platforms such as AWS, GCP, or Azure.