Data Scientist - Inference, Safety and Customer Care
Lyft · SCC Tech
- Location
- Toronto, Canada
- Metro
- Toronto
- Workplace
- Unspecified
- Level
- Mid-level
- Type
- Unspecified
- Posted
- 3 months ago
- Source
- Greenhouse
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What the posting covers
About the company
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and…
About the company
Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service…
Responsibilities
Inference & Measurement: Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance, and surface opportunities for improvement. Modeling: Build, evaluate, and iterate on causal…
Experience
2+ years of industry experience in causal inference or data science with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or a PhD in a relevant field. Strong knowledge of causal inference and experimental design.…
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…
Benefits
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on…
Excerpts only. The employer’s page has the complete posting.