Applied Scientist: Real-Time Pricing & Optimization

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan with company match

Paid time off

Job summary

United States Digital Space LLC is seeking an Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionalize scalable pipelines powering pricing and ETA decisions in our two-sided marketplace.

The role emphasizes collaboration with Pricing, Product, Engineers and Analysts in a fast-paced environment, translating complex business problems into reliable decision frameworks at scale.

Qualifications

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields.
• 2+ years of algorithms experience in a technology company setting.
• Proficiency with Python and working in a production coding environment.
• Strong ability to translate complex problems into mathematical formulations.
• Excellent communication and collaboration across teams.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically.
• Write production quality code and deploy ML and Optimization models.
• Build proof-of-concept analyses and scalable ML/Optimization solutions.
• Evaluate ML systems against business goals and ensure robustness in live systems.
• Establish metrics to monitor product health and impact on outcomes.
• Collaborate across Pricing, Product, Engineers, and Analysts.

Skills

Machine Learning

Operations Research

Python

Optimization

Data analysis

Education

M.S. or Ph.D. in ML, OR, Statistics, CS

Tools

ML pipelines

Optimization libraries

Job description

United States Digital Space LLC is seeking an Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionalize scalable pipelines powering pricing and ETA decisions in our two-sided marketplace.

The role emphasizes collaboration with Pricing, Product, Engineers and Analysts in a fast-paced environment, translating complex business problems into reliable decision frameworks at scale.