Senior Causal Inference Scientist, Growth & MMM

Socotra, Inc.; Seattle (WA); Hybrid; USD 136,160 - 170,240; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Mental health benefits

401(k) plan with company match

Paid parental leave

Monthly Lyft credits

Job summary

Lyft is hiring a Data Scientist in Seattle to lead causal inference and marketing mix modeling efforts. You will drive data science solutions, handle complex domains, and optimize investments across marketing channels. The role requires advanced statistical skills and proficiency in Python and SQL.

Lyft offers great benefits including medical insurance, parental leave, and 401(k) matching. The expected salary ranges from $136,160 to $170,240 based on experience and qualifications. This is a hybrid position requiring 3 in-office days weekly.

Qualifications

• 4+ years of industry experience in causal inference or data science.
• Proven ability to apply statistics to unstructured problems and deliver measurable results.
• Expertise in SQL and experience with large-scale data platforms.

Responsibilities

• Deliver results across the entire lifecycle of data science solutions for Growth.
• Own complex domains and develop long-term roadmaps to maximize business impact.
• Build statistical pipelines, write production code, and design/analyze experiments.

Skills

Causal inference

Marketing mix models (MMM)

Statistics

SQL

Python

Education

Advanced degree in statistics, economics, mathematics

Job description

Lyft is hiring a Data Scientist in Seattle to lead causal inference and marketing mix modeling efforts. You will drive data science solutions, handle complex domains, and optimize investments across marketing channels. The role requires advanced statistical skills and proficiency in Python and SQL.

Lyft offers great benefits including medical insurance, parental leave, and 401(k) matching. The expected salary ranges from $136,160 to $170,240 based on experience and qualifications. This is a hybrid position requiring 3 in-office days weekly.