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Data Science Intern, Algorithms (Summer 2027)
Lyft
Toronto, CAN
Internship, Temporary
Entry
Hybrid
CAD 45-48 hourly / hour
Discovered 2 days ago
PythonSQLRNumPyScikit-learnPyTorch
Free
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PythonSQLR
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PythonSQLRNumPyScikit-learnPyTorch
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Responsibilities:
- Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Write production modeling code; collaborate with software engineers to implement algorithms in production
- Design and run both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
Experience:
Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Operations Research, Computer Science, Statistics , Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with a graduation date between December 2027 and June 2028 (required)
Available during Summer 2027 for an internship in Toronto
Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
Experimental design and analysis
Exploratory data analysis
Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation
Benefits:
- Mental health benefits
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