Applied Scientist - Real-Time Pricing & ETA Optimization

United States Digital Space LLC; New York (NY); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) with company match

Paid time off

Parental leave (18 weeks)

Commuter benefits

Pink membership

Job summary

United States Digital Space LLC is seeking an Applied Scientist in ML and Operations Research to develop models powering pricing and ETA decisions in our two-sided marketplace. You will build production-grade ML and optimization pipelines scalable to millions of calls daily and collaborate with Pricing, Product, Engineers and Analysts.

The role requires a MS/PhD in a quantitative field, 2+ years of algorithms experience, and strong Python skills.

Qualifications

• MS/PhD 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 understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models.
• Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.
• Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
• Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Skills

Machine Learning

Operations Research

Python

Optimization

Data analysis

Communication

Education

MS/PhD in Machine Learning, Operations Research, Statistics, CS

Tools

Python

Job description

United States Digital Space LLC is seeking an Applied Scientist in ML and Operations Research to develop models powering pricing and ETA decisions in our two-sided marketplace. You will build production-grade ML and optimization pipelines scalable to millions of calls daily and collaborate with Pricing, Product, Engineers and Analysts.

The role requires a MS/PhD in a quantitative field, 2+ years of algorithms experience, and strong Python skills.