Data Scientist - Paid Internship

If you are passionate about AI, statistics, and crunching numbers, join us as a data scientist intern. You will work on cutting-edge software for real-time traffic data prediction in US cities and prepare the environment for the next stage of autonomous vehicles and connected cars.   

Your main mission will be to efficiently optimize traffic signal timings for traffic intersections in the US. We want to build optimal machine learning models that will enable us to develop timing plans for entire traffic signal networks that outperform current adaptive technologies and human-driven optimizations. Your work will impact millions of people every day!

You can expect to:

• Work on innovative products/projects, always pushing boundaries
• Work with latest tools and technologies in AI
• Learn about applying theory to real-world applications
• Learn about the development of cutting edge AI algorithms
• Learn about anomaly detection, smart automatization, and optimization
• Learn about system simulations and reinforcement learning
• Have a dedicated experienced mentor/s

With your mentor/s you will:

• Develop new deep learning algorithms
• Apply latest machine learning algorithms to solve new problems in multi-objective optimization
• Use statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from the structured and unstructured data.
• Perform large-scale experimentation and build data-driven tools to translate data into intelligence.
• Operationalize predictive models built with machine learning and advanced analytic technologies.
• Develop stunning visualization for users to quickly understand the problems and metrics.
• Leverage anomaly detection algorithms to identify and explain unusual patterns in customer data.

Qualifications:

• Currently a BSc or MSc student of Mathematics, Data Science, Physics or Statistics.
• Strong knowledge of descriptive statistics, calculus, linear algebra, and optimization.
• Solid understanding of classical Machine Learning algorithms (knowledge of neural networks is considered a plus).
• Programming experience in Python (knowledge of Pandas, NumPy, Sklearn, Tensorflow is considered a plus).
• Programming experience in C# is considered a plus.
• Strong analytical and assessment skills.
• Strong ability to translate data driving insights into decisions and actions.
• Strong ability to think strategically, be proactive, and collaborative.

What we expect from you:

• You are able to start at the beginning of July
• At least 3 months commitment
• Working 6-8 hours per day during the summer school holidays (we can offer more flexible arrangements when the classes start in October)

Participation in the internship does not guarantee that you will be offered a full time position.