Data Science Intern - Foundation Engineering

Key Skills

Computer Vision (CV), Data science techniques, Deep Learning, Effective communication skills, Environmental, Image processing, Linguistic, Machine learning techniques, matplotlib, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow, Video processing/compression

Job Description

What's the role?

As a Data Science Intern, you will work collaboratively with various functional teams to develop proof of concepts, minimum viable products, and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to our businesses and functions.

Key Accountabilities: 

• Continuously seek out best practices and develop skills.
• Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver complex projects on time and within budgets.
• Work with mentor to translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
• Take ownership for the data science workflow including exploratory data analysis, model development, and potentially deployment.
• Independently handle issues with minimal supervision, while working closely with mentor for more complex issues.
• Other duties as assigned.

Who are you?

• Currently enrolled in a Masters or PhD program in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of December 2021 or later.
• Experience developing and testing machine learning or statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling.
• Strong background in Computer Vision including image/video processing, object detection, classification, and tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics
• Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy)
• Excellent communication skills, both written and verbal.
• Interested in learning model deployment in a production setting.

What do we offer?

• An opportunity to work with exceptional people
• Meaningful problems to solve
• Work that makes a difference in the world
• Variety in the types of projects
• Feedback so you will know how well you are doing
• Collaborative, Supportive Colleagues in an inclusive environment