Lyft11.06.2026
Senior Data Scientist, Causal Inference
Зарплата не указана
New York
Обязанности
- 01Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems
- 02Own complex domains and develop long-term roadmaps to maximize business impact
- 03Build statistical pipelines, write production code, and design/analyze experiments
- 04Participate in the science on-call rotation to ensure automated campaigns operate successfully
Требования
- 01Advanced degree in statistics, economics, mathematics, or equivalent industry experience
- 024+ years of industry experience in causal inference or data science
- 03Proven ability to apply statistics to unstructured problems and deliver measurable results
- 04Deep technical expertise in causal inference and tackling challenging measurement problems
- 05Expertise in marketing mix modeling is highly preferred
- 06Expertise in SQL and experience with large-scale data platforms
- 07Proficiency in Python and working within production coding environments
Условия
- 01Expected base pay range for this position in the New York City area is $148,000 - $185,000
- 02Hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays
- 03Flexibility to work from anywhere for up to 4 weeks per year
- 04Great medical, dental, and vision insurance options
- 05Mental health benefits
- 06Family building benefits
- 07Child care and pet benefits
- 08401(k) plan with company match
- 0912 observed holidays
- 10Salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 1118 weeks of paid parental leave
- 12Subsidized commuter benefits
- 13Monthly Lyft credits and complimentary Lyft Pink membership