Lyft

About Lyft

The friendly ride-sharing alternative to Uber

🏢 Tech👥 1001+ employees📅 Founded 2012📍 China Basin, San Francisco, CA💰 $4.9b3.6
B2CTravelTransportMobilityRidesharing

Key Highlights

  • Headquartered in San Francisco, CA
  • Over 100 million rides completed
  • $4.9 billion raised in funding
  • Acquired PBSC Urban Solutions in 2022

Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...

🎁 Benefits

Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...

🌟 Culture

Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...

Lyft

Data Scientist Mid-Level

LyftNew York - On-Site

Posted 1w ago🏛️ On-SiteMid-LevelData Scientist📍 New York💰 $128,000 - $160,000 / yearly
Apply Now →

Overview

Lyft is hiring a Data Scientist for their Urban Solutions team to drive data-informed decision-making in micromobility. You'll work with Python, SQL, and machine learning to tackle diverse challenges. This position requires experience in data analysis and statistical modeling.

Job Description

Who you are

You have a strong background in data science, with experience in statistical modeling and machine learning — you've tackled complex problems and developed insights that drive decision-making. Your proficiency in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring that your analyses are both accurate and actionable.

You thrive in collaborative environments, partnering with engineers, product managers, and business stakeholders to frame problems and develop solutions — your ability to communicate complex concepts clearly is a key asset. You are passionate about using data to inform strategies in micromobility, and you understand the importance of data-driven decisions in optimizing operations.

Your experience includes performing exploratory data analysis to uncover trends and insights — you enjoy diving deep into data to understand the nuances of the problems at hand. You are familiar with optimization techniques and have applied them in real-world scenarios, contributing to the efficiency and effectiveness of operations.

Desirable

Experience with transportation analytics or similar domains is a plus — you understand the unique challenges and opportunities in the micromobility space. Familiarity with data visualization tools can enhance your ability to present findings to diverse audiences, making your insights more impactful.

What you'll do

As a Data Scientist at Lyft, you will partner with cross-functional teams to identify and frame key business problems — your role will involve developing and fitting statistical, machine learning, or optimization models to inform decision-making. You will write production model code and collaborate closely with software engineers to ensure seamless integration of your models into operational systems.

You will conduct exploratory data analysis to gain a deeper understanding of the challenges faced by the Lyft Urban Solutions team — your insights will guide planning and operational strategies, impacting the future of micromobility. You will also engage with stakeholders at various levels, from executives to local market operations teams, ensuring that your analyses align with business objectives.

What we offer

Lyft fosters a work environment where all team members belong and have the opportunity to thrive — you will be part of a team that values collaboration and innovation. The salary range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus, or benefits. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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