Senior Data Scientist, Causal Inference — Seattle, WA 98101

Lyft · Seattle, WA 98101 · Posted 1 month ago
Full Time
Data Scientist
1 Vacancy
Salary
Negotiable
Experience
5+ Years
Education
High School
Job Overview, Skills & Description:
Job Posted
1 month ago
Job Type
Full Time
Job Role
Data Scientist
Education
High School
Experience
5+ Years
Total Vacancies
1 Person

Skills Required:

SQL Machine learning Python JAVA project management Communication Leadership Power BI Tableau Collaboration Data Visualization R Data Mining Statistical Modeling Programming Languages Python Programming Deep Learning Machine Learning Algorithms Time Series Analysis Regression Analysis R Programming Pandas NumPy Matplotlib Hypothesis Testing Causal Inference Propensity Score Analysis Instrumental Variables Regression Discontinuity Design Randomized Controlled Trials Bayesian Methods Mathematical Statistics Data Wrangling Seaborn Scipy Survival Analysis

Benefits:

401(K) Paid Time off Vision insurance Paid Parental Leave

Job Description:

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products.

As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels.

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.

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.

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
  • In addition to 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

Lyft

Job Tags
AWS Cloud Computing On-Call Data Science Machine Learning Engineer Certified Data Scientist Causal Inference Specialist Python Developer PhD in Statistics or related field
Lyft
Job #23827 Company #8352
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Location
Seattle, 98101, United States