Data Science Internship

Selected intern's day-to-day responsibilities include:

1. Work with a strong understanding of statistical and machine learning concepts, such as probability, statistics, linear algebra, and optimization
2. Work on identifying and implementing solutions to data-related problems

Skills & Requirements:

1. Strong understanding of statistical and machine learning concepts, such as probability, statistics, linear algebra, and optimization
2. Familiarity with programming languages such as Python, R, and SQL, as well as experience using popular data science libraries and frameworks such as sci-kit-learn, TensorFlow, Keras, and Pandas
3. Experience with data cleaning, preprocessing, and visualization techniques, as well as the ability to work with large and complex datasets
4. Strong problem-solving skills, including the ability to identify and implement solutions to data-related problems
5. Strong verbal and written communication skills, as the intern will likely be required to present their findings to both technical and non-technical audiences
6. Familiarity with cloud-based data science platforms such as AWS, GCP, or Azure is a plus
7. Knowledge of time series analysis, and natural language processing is a plus
8. Familiarity with version control systems like Git is a plus

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