Lyft Logo

Lyft

Senior Data Scientist, Causal Inference

Reposted 4 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
148K-185K Annually
Senior level
In-Office
San Francisco, CA, USA
148K-185K Annually
Senior level
Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.
The summary above was generated by AI

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 is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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. #Hybrid

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.

HQ

Lyft San Francisco, California, USA Office

185 Berry Street, San Francisco, CA, United States, 94107

Lyft Berkeley, California, USA Office

Berkeley, United States

Lyft Oakland, California, USA Office

Oakland, United States

Lyft Palo Alto, California, USA Office

Palo Alto, United States

Lyft Richmond, California, USA Office

Richmond, United States

Lyft San Jose, California, USA Office

San Jose, United States

Lyft Union City, California, USA Office

Union City, United States

Similar Jobs

10 Hours Ago
In-Office
Palo Alto, CA, USA
250K-350K Annually
Senior level
250K-350K Annually
Senior level
Information Technology
Design and build scalable backend and infrastructure for autonomous AI agents: real-time messaging, agent runtimes, LLM integrations, vector retrieval, APIs, databases, and production reliability while mentoring engineers and driving architectural decisions.
Top Skills: AWSCi/CdEmbeddingsExpressFastapiGCPGemini)GoGptKubernetesLlms (ClaudeMessage QueuesNode.jsNoSQLPub/SubPythonSQLTypescriptVector SearchWebsocket
10 Hours Ago
Remote or Hybrid
United States
Entry level
Entry level
Fintech • Machine Learning • Software • Financial Services
This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.
10 Hours Ago
Hybrid
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
Top Skills: Audio GenerationAugmented RealityC++ClassificationDiffusion ModelsGenerative ModelsImage GenerationLlmsMobile Real-Time SoftwareObject DetectionOn-Device InferencePythonPyTorchSegmentationTensorFlowTrackingVideo Generation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account