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

Lyft • San Francisco, CA

Posted 1 month agoSeniorData scientist📍 San francisco
Apply Now →

Skills & Technologies

Machine learningPythonSQL

Overview

Lyft is seeking a Senior Data Scientist to develop algorithms for ad relevance and optimization. You'll work with large-scale datasets and machine learning models in San Francisco. This role requires strong applied machine learning intuition and coding skills.

Job Description

Who you are

You have 5+ years of experience in data science, particularly in developing and deploying machine learning models. Your strong applied machine learning intuition allows you to tackle complex problems and create effective solutions. You are proficient in Python and SQL, enabling you to work efficiently with large datasets and perform data analysis. You have hands-on experience with algorithm development, particularly in the context of ad relevance and optimization. Your ability to write clean, efficient production code is complemented by your collaborative spirit, as you enjoy working closely with cross-functional teams to translate business needs into technical solutions. You are comfortable navigating ambiguity and thrive in a fast-paced environment where you can make a significant impact.

Desirable

Experience with real-time decision systems and AI-powered personalization is a plus. Familiarity with advertising technologies and marketplace dynamics will help you excel in this role. You are eager to learn and adapt to new technologies and methodologies that can enhance your work and the team's performance.

What you'll do

In this role, you will be responsible for designing, prototyping, and deploying production-grade machine learning models that enhance ad performance and marketplace efficiency. You will collaborate with Engineering, Product, and Data Science teams to develop algorithms that meet the needs of advertisers and improve the overall effectiveness of Lyft Ads. Your work will involve analyzing large-scale datasets to derive insights and inform algorithmic solutions. You will also be tasked with optimizing existing algorithms and ensuring they operate effectively in real-time environments. Your contributions will directly impact how advertisers connect with Lyft's user base, driving revenue growth and enhancing user experience. You will participate in regular team meetings to discuss progress, challenges, and new ideas, fostering a culture of innovation and collaboration.

What we offer

Lyft provides a supportive work environment where all team members can thrive. You will have the opportunity to work on cutting-edge projects that shape the future of advertising in the transportation sector. The company values diversity and encourages applications from individuals with varied backgrounds. Lyft offers competitive compensation and benefits, including opportunities for professional development and career growth. You will be part of a rapidly scaling business line, contributing to meaningful projects that have a direct impact on the company's success.

Interested in this role?

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