Lyft8 дней назад
Data Scientist - Inference, Safety and Customer Care
Зарплата не указана
РЫНОК
14 583 ₽медиана по профессии
Data Scientist · 21 вакансий с указанной зарплатой
7 333половина предложений: 12 500–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
Toronto
Обязанности
- 01Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance, and surface opportunities for improvement
- 02Build, 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
- 03Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience, and operational cost), and propose strategies to improve overall effectiveness
- 04Build strong relationships with partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation
- 05Communicate learnings to leaders and stakeholders in a clear, compelling way that drives informed, data-driven decision-making
- 06Think strategically about how to scale and evolve data science capabilities within SCC, contributing to the long-term vision for how science drives platform outcomes
Требования
- 012+ 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
- 02Strong knowledge of causal inference and experimental design
- 03Experience with uplift modeling / heterogeneous treatment effect (CATE) estimation
- 04Proven ability to apply statistics to unstructured problems and deliver measurable results
- 05Expertise in SQL and experience with large-scale data platforms
- 06Proficiency in Python and working within production coding environments
- 07Proven ability to communicate clearly and effectively to audiences of varying technical levels
- 08Excellent project management, communication, and collaboration skills
- 09Experience partnering with operational teams and support systems (customer care workflows, agent operations, or credit budget allocation)
- 10Experience working with AI/LLM applications (LLM-powered agents, retrieval systems, or evaluation frameworks) is nice to have
Условия
- 01Extended health and dental coverage options, along with life insurance and disability benefits
- 02Mental health benefits
- 03Family building benefits
- 04Child care and pet benefits
- 05Access to a Lyft funded Health Care Savings Account
- 06RRSP plan with company match to help save for your future
- 07In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy
- 08Hourly team members get 15 days paid time off, with an additional day for each year of service
- 09Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs
- 10Subsidized commuter benefits and Lyft ride credits
- 11This role will be in-office on a hybrid schedule