Lyft25 дней назад
Senior Data Scientist, Algorithm, Lyft Biz
Зарплата не указана
San Francisco
Обязанности
- 01Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products (Business Travel, Lyft Pass, Concierge) in ambiguous, high-impact problem spaces
- 02Own the complete lifecycle of algorithmic solutions—from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration
- 03Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores
- 04Define offline/online metrics, evaluation frameworks, and A/B testing strategies to ensure algorithms are reliable, fair, and aligned with business outcomes
- 05Continually improve model performance across latency, accuracy, cost, and reliability using advanced tuning and scientific rigor
- 06Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
- 07Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams
- 08Mentor junior and mid-level scientists, providing technical guidance, conducting modeling critiques, and contributing to Lyft's broader ML standards and tooling
Требования
- 01Master’s or PhD in Machine Learning, Computer Science, Statistics, Optimization, or a related quantitative field (or equivalent applied experience)
- 025+ years of hands-on experience developing, deploying, and maintaining production machine learning models and optimization systems
- 03Deep knowledge of supervised/unsupervised learning, ranking/decisioning systems, probabilistic modeling, and causal inference
- 04Strong proficiency in Python, modern ML frameworks (PyTorch, TensorFlow, scikit-learn), and distributed data systems (Spark, Snowflake, Databricks)
- 05Hands-on experience building end-to-end ML architectures, including online/batch pipelines, feature engineering, and automated monitoring frameworks
- 06Demonstrated track record of designing rigorous experimentation strategies, A/B tests, and offline/online validation methodologies
- 07Proven ability to independently drive multi-project algorithmic scopes and navigate technical ambiguity from ideation to delivery
- 08Exceptional ability to translate complex technical concepts for non-technical stakeholders, alongside a history of mentoring peers and raising technical bars
Условия
- 01Great medical, dental, and vision insurance options with additional programs available when enrolled
- 02Mental health benefits
- 03Family building benefits
- 04Child care and pet benefits
- 05401(k) plan with company match to help save for your future
- 06In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 0718 weeks of paid parental leave
- 08Biological, adoptive, and foster parents are all eligible
- 09Subsidized commuter benefits
- 10Monthly Lyft credits and complimentary Lyft Pink membership