About Lyft
The friendly ride-sharing alternative to Uber
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...
Skills & Technologies
Overview
Lyft is seeking a Data Scientist specializing in Algorithms to enhance ad relevance and optimization. You'll work with large-scale datasets and machine learning models to improve ad performance. This role requires strong applied machine learning skills and experience in Python and SQL.
Job Description
Who you are
You have a strong background in data science with a focus on algorithms and machine learning — your experience includes designing and deploying production-grade models that drive business outcomes. You are proficient in Python and SQL, allowing you to manipulate large datasets and extract meaningful insights effectively. Your applied machine learning intuition enables you to tackle complex problems and develop innovative solutions that enhance ad relevance and targeting. You thrive in collaborative environments, working closely with cross-functional teams to translate business needs into algorithmic solutions. You are detail-oriented and possess the ability to write clean, efficient code that meets production standards. You understand the importance of data-driven decision-making and are passionate about leveraging data to improve performance and efficiency.
Desirable
Experience with real-time decision systems and AI-powered personalization is a plus, as it aligns with the goals of Lyft Ads. Familiarity with advertising technologies and marketplace dynamics will help you excel in this role. A background in working with large-scale datasets and complex systems will further enhance your contributions to the team.
What you'll do
In this role, you will be responsible for building the next generation of algorithms that power the Lyft Ads platform — your work will focus on improving ad relevance, targeting, optimization, and measurement. You will collaborate with engineering, product, and sales teams to understand advertiser needs and translate them into rigorous algorithmic solutions. Your expertise in machine learning will be crucial as you design, prototype, and deploy models that operate on large-scale datasets. You will analyze performance metrics and iterate on algorithms to ensure they meet business objectives and drive revenue growth. Additionally, you will engage in stakeholder communication to present findings and recommendations based on your analyses. Your contributions will directly impact how advertisers connect with Lyft users, enhancing the overall effectiveness of ad campaigns.
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 rapidly scaling business line that is at the forefront of transportation media. The company values collaboration and innovation, providing you with the resources and support needed to succeed in your role. You will have the chance to work with cutting-edge technologies and contribute to high-impact projects that shape the future of advertising in the mobility sector. Lyft is committed to your professional growth, offering opportunities for learning and development within the organization. The company also emphasizes work-life balance and employee well-being, ensuring that you can perform at your best while enjoying a fulfilling personal life.
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