Pricing Optimization Lead

3 days ago


Seattle, Washington, United States Metropolis Full time
Unlock the Power of Pricing Optimization

Metropolis is revolutionizing parking experiences with artificial intelligence and computer vision technology, making checkout-free transactions a reality.

We are seeking a Senior Applied Scientist to develop innovative pricing algorithms that balance customer needs with operational constraints. This role requires a deep understanding of optimization, forecasting, and causal inference, particularly in pricing applications.

The ideal candidate will have a robust background in machine learning and experience working with large-scale datasets. They will be responsible for researching and developing optimization models, navigating complex datasets, and communicating results effectively to various stakeholders.

Key Responsibilities:

  • Design and implement optimization models to solve complex pricing challenges
  • Analyze large datasets to inform key algorithmic strategies for pricing
  • Collaborate closely with cross-functional teams to ensure alignment with organizational objectives

Requirements and Qualifications:

  • PhD (strongly preferred) or MS in Operations Research, Statistics, Economics, Computer Science, or a relevant quantitative discipline
  • 4+ years of industry experience as a Machine Learning scientist, research engineer, or equivalent role
  • Strong proficiency in Python and SQL for model development and statistical analysis
  • Proven expertise in implementing and deploying machine learning algorithms related to optimization and forecasting

The anticipated base salary for this position is $170,000.00 to $210,000.00 annually. Metropolis offers a comprehensive total compensation package, including access to healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.



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