Senior Data Scientist: Causal Inference & Marketing MMM

Socotra, Inc.; San Francisco (CA); Hybrid; USD 148,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Mental health benefits

Family building benefits

401(k) plan with company match

Discretionary paid time off

Paid parental leave

Subsidized commuter benefits

Monthly Lyft credits and complimentary Lyft Pink membership

Job summary

Lyft is seeking a Data Scientist specializing in causal inference and marketing mix models to measure and optimize marketing investments. You will lead data science solutions from problem definition to model deployment.

The role involves collaborating with cross-functional teams and requires an advanced degree in statistics or a related field along with 4+ years of industry experience. The position is on a hybrid schedule, requiring in-office work 3 days a week.

The expected salary range for this position in San Francisco is $148,000 to $185,000.

Qualifications

• 4+ years of industry experience in causal inference or data science.
• Proven ability to apply statistics to unstructured problems.
• Deep technical expertise in causal inference and tackling challenging measurement problems.

Responsibilities

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

Skills

Causal inference

Marketing mix models

SQL

Python

Statistics

Data science

Education

Advanced degree in statistics, economics, or mathematics

Tools

Large-scale data platforms

Job description

Lyft is seeking a Data Scientist specializing in causal inference and marketing mix models to measure and optimize marketing investments. You will lead data science solutions from problem definition to model deployment.

The role involves collaborating with cross-functional teams and requires an advanced degree in statistics or a related field along with 4+ years of industry experience. The position is on a hybrid schedule, requiring in-office work 3 days a week.

The expected salary range for this position in San Francisco is $148,000 to $185,000.