Junior Data Scientist

Key Responsibilities:

• Apply machine learning techniques to solve complex data problems
• Utilize machine learning algorithms and statistical models, including supervised and unsupervised learning methods
• Perform data preprocessing, feature engineering, and data visualization
• Communicate complex concepts to non-technical stakeholders
• Demonstrate strong problem-solving skills and attention to detail
• Work with agile development methodologies and version control tools like Git

Qualifications Required:

• Master of Science in Computer Science, Engineering, or Data Science
• 1-3 years of experience applying machine learning techniques
• Strong knowledge of machine learning algorithms and statistical models
• Proficiency in Python programming and experience with big data tools like Spark
• Excellent communication skills
• Strong problem-solving skills
• Experience with agile development methodologies and version control tools

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 like AWS, GCP, or Azure Role Overview: As a Machine Learning Engineer, you will be responsible for applying machine learning techniques to solve complex data problems. You should have a Master of Science in a relevant field such as Computer Science, Engineering, or Data Science and 1-3 years of relevant experience. Your strong knowledge of machine learning algorithms and statistical models will be crucial in this role. Additionally, your proficiency in Python programming and experience with big data tools such as Spark will be essential. Key Responsibilities: