Lyft logoLyft logo

Data Scientist, Algorithms, Optimization - Fulfillment

LyftNew York, NY
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Qualifications

Advanced degree (M. S. or Ph. D.) in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or a related quantitative field. A minimum of 2 years of professional experience within a technology-driven company. Demonstrated expertise in the development and evaluation of machine learning models. Proficiency in Python and experience in a production coding environment. A strong commitment to solving complex and unconventional mathematical challenges. Comprehensive experience handling end-to-end data processes, including querying, aggregation, analysis, and visualization. Excellent verbal and written communication skills to convey complex findings effectively.

About the job

At Lyft, we are dedicated to connecting people and communities. We foster a work environment where every team member feels valued and has the opportunity to excel.

Data Science plays a pivotal role in shaping Lyft's innovative products and guiding our strategic decisions. As a Data Scientist specializing in Algorithms, you will immerse yourself in a fast-paced, collaborative environment, addressing critical challenges from influencing key business strategies to developing sophisticated algorithms that enhance our services. We are on the lookout for passionate and driven individuals to tackle some of the most intriguing and impactful challenges in the ridesharing industry.

In this role, you will create mathematical models that enhance the core functionalities of our platform, focusing on optimization, prediction, machine learning, and inference. As part of the Fulfillment team, you will work alongside cross-functional colleagues and stakeholders to refine algorithms that match rideshare supply with demand in real-time, ultimately improving the experiences of both Lyft Riders and Drivers.

About Lyft

Lyft is a leading rideshare platform committed to redefining transportation. Our mission is to connect people and communities, creating an inclusive environment where all employees can thrive. By leveraging data and technology, we aim to enhance the ridesharing experience for both Drivers and Riders, ensuring accessibility and efficiency in urban mobility.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.