Senior Data Scientist, Causal Inference

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.

Qualifications

• Experience: 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.

Skills

• Causal inference
• Marketing mix modeling
• SQL
• Python

Benefits

• 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
• 12 observed holidays
• Discretionary 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

Pay

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Schedule

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.