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Data Scientist, Algorithms, Optimization - Fulfillment

LyftSeattle, WA
On-site Full-time

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Qualifications

Master’s or Ph. D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or related quantitative fields. Minimum of 2 years of professional experience in a technology-driven environment. Demonstrated expertise in building and assessing machine learning models. Strong proficiency in Python and experience in a production coding environment. A deep-seated passion for tackling complex and non-standard mathematical challenges. Comprehensive experience with data management, including querying, aggregation, analysis, and visualization. Exceptional verbal and written communication skills to convey complex findings effectively.

About the job

At Lyft, we are dedicated to fostering connections and serving our communities. We believe that a diverse and inclusive work environment empowers every team member to excel and thrive.

Data Science plays a vital role in shaping Lyft’s products and driving our strategic decisions. As a Data Scientist specializing in Algorithms within our dynamic Fulfillment team, you'll confront fascinating challenges that influence critical business strategies and enhance our innovative offerings. We are looking for passionate and motivated Data Scientists to tackle some of the most compelling and impactful issues in the ridesharing industry.

Your primary focus will be to create advanced mathematical models that support our platform’s essential services, solving complex problems related to optimization, prediction, machine learning, and inference. You will collaborate closely with cross-functional teams to refine algorithms that optimize rideshare supply and demand in real-time, ultimately enhancing the experiences of both Lyft Riders and Drivers.

About Lyft

Lyft is a leading transportation network company dedicated to connecting people and communities. We prioritize a work culture that embraces diversity and inclusion, ensuring every employee has the opportunity to thrive and contribute to our mission of enhancing transportation solutions through innovative technology.

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