Applied Scientist: Real-Time Pricing & Optimization

Lyft

San Francisco (CA)

Hybride

USD 140 800 - 176 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Great medical, dental, and vision insurance
Mental health benefits
401(k) plan with company match
Discretionary paid time off
18 weeks of paid parental leave
Monthly Lyft credits and complimentary Lyft Pink membership

Résumé du poste

Lyft is looking for an Applied Scientist specializing in Machine Learning and Operations Research in San Francisco. You will develop mathematical models to optimize pricing and ETAs, collaborating closely with cross-functional teams. A strong background in ML methodologies and programming in Python is required.

The expected base pay range is $140,800 - $176,000, alongside comprehensive benefits such as health insurance and parental leave, making this a great opportunity for candidates passionate about solving complex business problems.

Qualifications

  • 2+ years of algorithms experience in a technology company setting.
  • Strong understanding of machine learning methodologies.
  • Strong verbal and written communication skills.

Responsabilités

  • Partner with teams to frame problems mathematically.
  • Design, build, and deploy ML and optimization models.
  • Establish metrics to monitor product health.

Connaissances

Machine Learning
Python
Operations Research
Data Analysis

Formation

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science

Outils

Production coding environment

Description du poste

Lyft is looking for an Applied Scientist specializing in Machine Learning and Operations Research in San Francisco. You will develop mathematical models to optimize pricing and ETAs, collaborating closely with cross-functional teams. A strong background in ML methodologies and programming in Python is required.

The expected base pay range is $140,800 - $176,000, alongside comprehensive benefits such as health insurance and parental leave, making this a great opportunity for candidates passionate about solving complex business problems.

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