Data Scientist, Decision Science ProductsSan Francisco, California, United States.

About us

At Lyft we care deeply about delivering the best transportation experience: this means the best experience for the passenger and the best experience for the driver. 

We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. A strong awareness of our environment will allow us to operate respectfully in our neighborhoods. Simply put: to be considerate of our communities. 

Naturally, we are also embracing the powerful positive impact autonomous transportation will bring to our everyday lives and it is our ambition to become a leader in the development and operation of such vehicles. Thanks to our network, with hundreds of millions of rides every year, we have the means to make autonomy and Artificial Intelligence a safe reality. 

By joining the Autonomous Tech group, you will have the opportunity as a founding team member to develop and deploy tomorrow’s hardware & software solutions enabling the revolution of transportation and information.

Data Scientist, Decision Science Products

San Francisco | California | United States

At Lyft, community is what we are and it's what we do. It's what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.
The Decision Science Products team (DSP) is a cross-functional group of engineers and scientists focused on leveraging science, product, and engineering to drive better business decisions for Lyft. Rather than focusing on a specific slice of the business, DSP looks horizontally across Lyft to drive change in the areas of greatest opportunity, with the end goal of improving how we operate our business day to day.
DSP sits at the intersection of Lyft's product, growth, operations, and finance teams, and serves as a strategic partner for our senior leadership team. The team tackles challenges across many technical disciplines - including time series forecasting, causal inference, optimization, and machine learning. Here is a short list of problems we're working on:
  • Manage overall business health and performance measurement
  • Develop and publish operational forecasts for our key business metrics
  • Build ROI and risk management tools to guide budget investments
  • Understand and optimize between key growth and efficiency levers across Lyft
  • Advise on strategic investments and long-term business trajectory
We are hiring motivated experts who can push the boundaries of our technical work. The ideal candidate is a critical thinker, is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment.
Responsibilities
  • End-to-end owner for Lyft's financial and operational planning.
  • Develop structured frameworks, build scalable tools, and organizational processes to run company planning.
  • Work closely with FP&A and Biz Ops to evaluate trade-offs and develop scenarios.
  • Make strategic recommendations to executive leadership team using data-driven frameworks.
  • Collaborate and drive cross functional alignment across growth, product, and operations to develop a unified investment framework across Lyft.
Experience & Skills
  • 5+ years professional experience in data science or analytics.
  • Proficiency with SQL, and Python/R.
  • Prior experience in forecasting, econometric modeling, and planning preferred.
  • Passion for solving unstructured and non-standard mathematical problems.
  • Willingness to collaborate and communicate with others to solve a problem.

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