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Home›Jobs›Lyft›Senior Data Scientist, Algorithms - Fulfillment
Lyft

About Lyft

The friendly ride-sharing alternative to Uber

🏢 Tech👥 1001+ employees📅 Founded 2012📍 China Basin, San Francisco, CA💰 $4.9b⭐ 3.6
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...

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Lyft

Senior Data Scientist, Algorithms - Fulfillment

Lyft • Seattle, WA

Posted 15h ago🏛️ On-SiteSeniorData scientist📍 Seattle💰 $136,160 - $170,200 / year
Apply Now →

Skills & Technologies

Machine learningOptimizationStatistical modelingData analysis

Overview

Lyft is hiring a Senior Data Scientist specializing in Algorithms to enhance their rideshare platform. You'll work on developing mathematical models and algorithms to optimize supply and demand in real-time. This role requires expertise in machine learning and statistical modeling.

Job Description

Who you are

You have 5+ years of experience in data science, with a strong focus on algorithms and machine learning. Your background includes developing mathematical models that address complex problems in optimization and prediction. You are skilled in performing exploratory data analysis to uncover insights and drive decision-making. You have a collaborative mindset and enjoy working with cross-functional teams, including engineers and product managers, to frame problems both mathematically and within a business context. Your coding skills allow you to write production-level modeling code, ensuring that your algorithms are effectively integrated into systems. You are passionate about using data to improve user experiences and are eager to tackle impactful challenges in the ridesharing industry.

Desirable

Experience with real-time data processing and optimization algorithms is a plus. Familiarity with statistical software and programming languages such as Python or R will enhance your ability to contribute effectively to the team.

What you'll do

As a Senior Data Scientist on the Fulfillment team, you will drive the science and machine learning roadmap for your area of focus. You will leverage data and analytic frameworks to create and improve algorithms that underpin Lyft's core services. Your role will involve collaborating with engineers and product managers to frame and solve complex problems, ensuring that your solutions align with business objectives. You will conduct exploratory data analysis to gain a deeper understanding of the challenges at hand, constructing and fitting statistical, machine learning, or optimization models as needed. Your work will directly impact the matching of rideshare supply and demand in real-time, enhancing the experiences of both Lyft Riders and Drivers. You will also be responsible for writing production modeling code and collaborating with team members to ensure the successful implementation of your algorithms.

What we offer

Lyft offers a competitive salary range for this position in the Seattle area, with base pay between $136,160 and $170,200, not including potential equity offerings, bonuses, or benefits. We foster a work environment where all team members belong and have the opportunity to thrive. You will be part of a mission-driven company that values collaboration and innovation, working alongside talented individuals who are passionate about making a difference in the ridesharing space. 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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