Lyft

Lyft designs, markets, and operates a mobile application that matches drivers with passengers who request rides.

5001-10000 employees
Founded 2012
$400M post ipo equity
Ride Sharing
Public Company

Open Positions5

This role is fully remote in FloridaCandidates for this role must be based in the Clermont metro area.Full-TimeData AnalyticsPosted
  • Own the analytical integrity of safety data at Lyft, including definitions and reconciliation logic.
  • Serve as the primary data liaison to external data auditors for safety reporting.
  • Maintain documentation standards to ensure reporting continuity and compliance.
  • Manage the end-to-end publication cycle, including QA, leadership review, and sign-off.
  • Drive the roadmap for the Trust & Safety reporting portfolio, including automation and metric prioritization.
  • Mentor junior analysts and set technical standards for metric definitions and query reviews.
  • Partner with Product, Engineering, Legal, and Policy teams to turn data insights into business decisions.
  • Build dashboards and develop frameworks to track success metrics and diagnose KPI performance.
PythonSQLData analytics
Showing 1 of 5 positions

About Lyft

Lyft is pioneering transportation-as-a-service, moving beyond car ownership to make ridesharing, bikes, and scooters universally accessible. Our mobile application connects millions of riders with drivers across 95% of the US population. We generated $5.79 billion in revenue last year, serving 44 million active riders. We solve real-world mobility challenges daily, making every journey seamless and sustainable.

How We Work

We foster meaningful connections and build trust within our teams. Our workplace policy is primarily hybrid, with most team members coming into the office three days a week. We emphasize creating an environment where differences flourish and every team member feels supported. Decisions are made collaboratively, and we encourage open communication.

Engineering at Lyft

Our engineers tackle complex challenges in designing and scaling large-scale backend systems for our global platform. We drive the adoption of AI and machine learning to optimize customer support workflows and enhance operational efficiency. This includes building microservices, event-driven architectures, and high-throughput APIs at scale. You will work with Python, Go, Java, C#, AWS, GCP, Azure, Kubernetes, and Docker.

Why Join Us

  • You will set the technical vision for a rapidly evolving product area, shaping its future.
  • You will drive the adoption of AI and machine learning to optimize critical customer support workflows.
  • You will lead and mentor talented engineers, fostering a culture of technical excellence.
  • You will architect and deliver large-scale backend systems impacting millions of users daily.
  • You will champion system improvements, ensuring platform stability and performance.

Benefits & Perks

  • Professional and stable working environment with the latest technology and equipment.
  • 28 calendar days for vacation and up to 5 paid sick days.
  • 18 weeks of paid parental leave for biological, adoptive, and foster parents.
  • Mental health and family building benefits.
  • Medical, dental, and vision insurance and a 401(k) plan (for US employees).

Tech Stack

mobilewidgetscms

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