TorontoFull TimeSoftware Development
Remotely
pythondata visualizationoperations researchcausal inferencedataoptimization
Job Description
📋 Description
- Collaborate with engineering and product teams to design, implement, and iterate on new features
- Design, develop, and deploy optimization models, algorithms, and systems for problems such as
- Write production model code; collaborate with Software Engineers to implement algorithms in
- Perform exploratory data analysis to gain a deeper understanding of the marketplace and its users.
- Communicate findings and facilitate launch decisions with technical and non-technical stakeholders.
- Ensure robust experimentation and causal inference methodologies are applied to measure the impact
🎯 Requirements
- Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research
- 2+ years of hands-on experience in optimization, causal inference, or machine learning.
- End-to-end experience with data, including querying, aggregation, analysis, and visualization.
- Proficiency with Python.
- Strong ability to collaborate and communicate with others in a team setting.
- Experience seeking out and adopting new methods and techniques.
🎁 Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
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