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About the Role

As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization.

Responsibilities

Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance, and surface opportunities for improvement.
Build, evaluate, and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle, from feature engineering to production deployment.
Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience, and operational cost), and propose strategies to improve overall effectiveness.
Build strong relationships with partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
Communicate learnings to leaders and stakeholders in a clear, compelling way that drives informed, data-driven decision-making.
Think strategically about how to scale and evolve data science capabilities within SCC, contributing to the long-term vision for how science drives platform outcomes.

Requirements

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.
Experience with uplift modeling / heterogeneous treatment effect (CATE) estimation.
Proven ability to apply statistics to unstructured problems and deliver measurable results.
Expertise in SQL and experience with large-scale data platforms.
Proficiency in Python and working within production coding environments.
Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Excellent project management, communication, and collaboration skills.
Experience partnering with operational teams and support systems (customer care workflows, agent operations, or credit budget allocation)
Experience working with AI/LLM applications (LLM-powered agents, retrieval systems, or evaluation frameworks) is nice to have.

Skills

Causal Inference
Data Science
Experimental Design
Uplift Modeling
Heterogeneous Treatment Effect (CATE) Estimation
Statistics
SQL
Python
Project Management
Communication
Collaboration
AI/LLM applications

Location

Toronto

Work Type

Hybrid

Experience Level

2+ years

Education Level

Master's degree
PhD

Salary/Compensations

CAD $108,000 - CAD $135,000

Benefits

Extended health and dental coverage options
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Lyft funded Health Care Savings Account
RRSP plan with company match
Flexible paid time off policy
18 weeks of paid parental leave
Subsidized commuter benefits
Lyft ride credits

About the Company

Lyft's purpose is to serve and connect.
Lyft is committed to creating an inclusive workforce that fosters belonging.
Lyft believes that every person has a right to equal employment opportunities without discrimination.
Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.

Equal Opportunity

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.