Applied Scientist: Pricing & Optimization

Position: Applied Scientist: Real-Time Pricing & Offer Optimization

A leading transportation network company in San Francisco is seeking an Applied Scientist to join their Pricing team. This role focuses on developing machine learning models to enhance pricing strategies and optimize real-time decision making in ride-sharing. Ideal candidates should have a strong background in machine learning or operations research, a commitment to collaboration, and a passion for innovative solutions.

Competitive salary range is $140,800 - $176,000 with hybrid work flexibility, fostering a collaborative office culture.

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