Senior Data Scientist - Causal Inference & MMM (Hybrid)

Lyft; Washington; Hybrid; USD 136,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Mental health benefits

Family building benefits

Child care benefits

401(k) with company match

Paid time off

18 weeks parental leave

Lyft credits

Lyft Pink membership

Job summary

Lyft seeks a Data Scientist expert in causal inference and marketing mix models to lead measurement and optimization of investments across marketing channels. You will deliver end-to-end data science solutions, own domains, and build production-grade models, pipelines, and experiments within the Growth team.

Responsibilities include defining problems with stakeholders, deploying models, and contributing to on-call support for automated campaigns.

Qualifications

• 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.

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.

Skills

Causal Inference

Data Science

Statistics

Experiment Design

Marketing Analytics

Education

Advanced degree in statistics, economics, mathematics

Tools

SQL

Python

Large-scale data platforms

Job description

Lyft seeks a Data Scientist expert in causal inference and marketing mix models to lead measurement and optimization of investments across marketing channels. You will deliver end-to-end data science solutions, own domains, and build production-grade models, pipelines, and experiments within the Growth team.

Responsibilities include defining problems with stakeholders, deploying models, and contributing to on-call support for automated campaigns.