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Data Scientist Intern Jobs

Data Scientist - Master's Intern
By AUDELA At Montreal, Quebec, Canada
Basic knowledge of statistical concepts and machine learning algorithms.
Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
Strong analytical skills, attention to detail, and ability to work with large datasets.
Good communication and interpersonal skills.
Collaborate with the data science team to analyze large and complex datasets.
Build predictive models and algorithms using statistical and machine learning techniques.

Are you passionate about data and analytics? Do you want to make an impact in the world of data science? We are looking for a Data Scientist Intern to join our team and help us uncover insights from data to drive business decisions. As a Data Scientist Intern, you will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of professionals. You will be responsible for developing and implementing data-driven solutions to solve complex business problems. If you are excited to join a fast-paced and innovative environment, then this is the perfect opportunity for you!

Overview Data Scientist Interns are responsible for assisting in the development and implementation of data-driven solutions to business problems. They work closely with data scientists, engineers, and other stakeholders to develop and deploy predictive models, analyze data, and create visualizations. Detailed Job Description Data Scientist Interns are responsible for assisting in the development and implementation of data-driven solutions to business problems. They work closely with data scientists, engineers, and other stakeholders to develop and deploy predictive models, analyze data, and create visualizations. Data Scientist Interns are expected to have a strong understanding of data science principles and techniques, including machine learning, natural language processing, and statistical analysis. They should be able to develop and maintain data pipelines, create and maintain data models, and develop and maintain data visualizations. Job Skills Required
• Knowledge of data science principles and techniques, including machine learning, natural language processing, and statistical analysis
• Ability to develop and maintain data pipelines
• Ability to create and maintain data models
• Ability to develop and maintain data visualizations
• Ability to communicate effectively with stakeholders
• Ability to work independently and in a team environment
• Ability to work with large datasets
• Ability to troubleshoot and debug data-related issues
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with programming languages such as Python, R, and SQL
• Experience with data analysis tools such as Tableau, Power BI, and Excel
• Experience with machine learning and natural language processing
• Knowledge of data engineering principles and techniques
• Knowledge of data visualization principles and techniques
Job Knowledge
• Knowledge of data science principles and techniques, including machine learning, natural language processing, and statistical analysis
• Knowledge of data engineering principles and techniques
• Knowledge of data visualization principles and techniques
Job Experience
• Experience with programming languages such as Python, R, and SQL
• Experience with data analysis tools such as Tableau, Power BI, and Excel
• Experience with machine learning and natural language processing
Job Responsibilities
• Develop and deploy predictive models
• Analyze data and create visualizations
• Develop and maintain data pipelines
• Create and maintain data models
• Communicate effectively with stakeholders
• Work independently and in a team environment
• Work with large datasets
• Troubleshoot and debug data-related issues