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Data Scientist, Algorithms - Lyft Ads

LyftSan Francisco, CA
On-site Full-time

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Qualifications

Proven experience in designing, developing, and deploying production-grade machine learning models and algorithms. Strong understanding of ad relevance, targeting, ranking, bid optimization, pacing, campaign delivery, and measurement. Experience managing the complete lifecycle of modeling projects, including problem definition, data exploration, feature engineering, model development, offline evaluation, deployment, and monitoring. Expertise in collaborating with engineering teams to integrate models into real-time ad-serving and batch decision systems, ensuring optimal performance across latency, scalability, and reliability. Ability to analyze large datasets related to mobility, behavior, and ad performance to identify patterns and opportunities for ML and AI-driven product enhancements. Familiarity with rigorous model evaluation frameworks, including offline metrics, statistical testing, calibration, sensitivity analysis, and A/B testing to validate model impact and system-level outcomes.

About the job

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.

Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.

We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.

This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

About Lyft

At Lyft, we are more than just a rideshare service; we are a movement dedicated to connecting people and communities. Our innovative solutions and diverse work culture ensure that every employee has the chance to contribute meaningfully and grow professionally.

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