Degree in Electrical Engineering
Algorithms, Behavioral science, Data Analysis, Data science techniques, Keras software library, Machine learning techniques, NumPy, Optimization, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, TensorFlow
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
We are hiring for a variety of Data Science interns, focusing on the following specialties:
Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app.
Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
You will report into a Science Manager.
Responsibilities:
Experience:
This role will be in-office on a hybrid schedule if an established Lyft Location is available to the Mexico City region — Hybrid Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day.
Lyft, Inc. is an American company offering mobility as a service, ride-hailing, vehicles for hire, motorized scooters, a bicycle-sharing system, rental cars, and food delivery in the United States and select cities in Canada. Lyft sets fares, which vary using a dynamic pricing model based on local supply and demand at the time of the booking and are quoted to the customer in advance, and receives a commission from each booking. Lyft is the second