Data Science Intern

HERE Technologies•Chicago, IL

About The Position

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Requirements

Currently enrolled in a program in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields
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

Responsibilities

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