Lyft5 дней назад
Data Scientist - Algorithms, Mapping
9 000–11 250 ₽в месяц · до вычета
РЫНОК
16 333 ₽медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Ниже рынка · выше 7% предложений
Toronto
Обязанности
- 01Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration
- 02Prioritize and lead deep dives into our data to uncover new product and business opportunities
- 03Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores
- 04Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
- 05Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
- 06Establish metrics that measure the health of our products, as well as rider and driver experience
- 07Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams
Требования
- 01Advanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience
- 023+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
- 03Passion for solving unstructured and non-standard mathematical problems
- 04Experience independently driving multi-project algorithmic scopes and navigating technical ambiguity from ideation to delivery
- 05Experience with machine learning models in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
- 06Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
- 07Working knowledge of modern machine learning frameworks and distributed computing systems, including PyTorch, TensorFlow, Ray, Spark, etc.
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
- 07Flexible paid time off policy for salaried team members
- 0815 days paid time off for hourly team members, with an additional day for each year of service
- 0918 weeks of paid time off for new parents
- 10Subsidized commuter benefits and Lyft ride credits
- 11Hybrid work schedule: 3 days per week in office (Mondays, Wednesdays, Thursdays)
- 12Flexibility to work from anywhere for up to 4 weeks per year