Applied Scientist: Real-Time Pricing & Offer Optimization

Lyft; San Francisco (CA); Hybrid; USD 140,800 - 176,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Mental health benefits

401(k) plan with company match

18 weeks of paid parental leave

Monthly Lyft credits

Job summary

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.

Qualifications

• 2+ years of experience in algorithms in a technology setting.
• Strong understanding of machine learning methodologies.
• Proven experience with building and evaluating optimization or machine learning models.

Responsibilities

• Partner with cross-disciplinary teams to frame problems mathematically.
• Write and deploy production-grade ML and optimization models.
• Evaluate and ensure the performance of algorithms in live systems.

Skills

Python

Machine Learning

Operations Research

Data Analysis

Communication Skills

Education

M.S. or Ph.D. in Machine Learning or related field

Job description

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.