Senior Data Scientist, Causal Inference
Lyft Inc
Seattle, WA, United States
12 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on arc.dev
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$136,160.0 - $170,240.0
Working hours
Regular working hours
Job source
Tech stack
Big Data
Python (Programming Language)
SQL Databases
Production Code
Job description
The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products.
As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels.
Responsibilities:
- Deliver 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.
- Own complex domains and develop long-term roadmaps to maximize business impact.
- Build statistical pipelines, write production code, and design/analyze experiments.
- Participate in the science on-call rotation to ensure automated campaigns operate successfully.
Requirements
- Advanced degree in statistics, economics, mathematics, or equivalent industry experience.
- 4+ years of industry experience in causal inference or data science.
- Proven ability to apply statistics to unstructured problems and deliver measurable results.
- Deep technical expertise in causal inference and tackling challenging measurement problems.
- Expertise in marketing mix modeling is highly preferred.
- Expertise in SQL and experience with large-scale data platforms.
- Proficiency in Python and working within production coding environments.
Benefits & conditions
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on arc.dev
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
EM
Eli McGarvie
over 3 years ago
EM
Eli McGarvie
Data Engineer Salary UK
about 3 years ago
EM
Eli McGarvie
Data Analyst Salary in the UK
about 3 years ago
DC
Daniel Cranney
How software is steering vehicle technology
over 1 year ago
EM
Eli McGarvie
Software Engineer Salary London
about 3 years ago
EM
Eli McGarvie
Highest Paying Tech Companies in Europe
over 3 years ago