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

• 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

• 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, 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.

Pay

• The expected base pay range for this position in the Seattle area is $136,160 - $170,240, not inclusive of potential equity offering, bonus or benefits.

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.