Pricing Optimization Data Scientist — Real-Time AI

United States Digital Space LLC; New York (NY); Hybrid; USD 128,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Mental health benefits

Family building benefits

Child care

401(k) with company match

Paid time off

Parental leave

Commuter benefits

Company credits

Pink membership

Job summary

United States Digital Space LLC in New York City is seeking a Data Scientist specializing in Algorithms on the Planned Pricing team to develop mathematical models for core pricing systems and address optimization, prediction, machine learning, and inference.

You will collaborate with cross-functional teammates to translate business problems into reliable solutions, scale systems, and drive business growth under a Data Science Manager.

Qualifications

• Ph.D. in Operations Research or other quantitative fields or related work experience.
• Proven experience with building and evaluating optimization models.
• Proficiency with Python and working in a production coding environment.

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context.
• Prioritize and lead deep dives into our data to uncover new product and business opportunities.
• Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production.
• Design, implement, and analyse experiments, and facilitate data-driven decision making and prioritization.
• Establish metrics that measure the health of our products and rider/driver experience.
• Drive collaboration with cross-functional teams.
• Provide coaching and technical guidance for other teammates.

Skills

Optimization models

Python programming

Data analysis

Communication

End-to-end data handling

Experiment design

Education

Ph.D. in Operations Research

Tools

Python

Job description

United States Digital Space LLC in New York City is seeking a Data Scientist specializing in Algorithms on the Planned Pricing team to develop mathematical models for core pricing systems and address optimization, prediction, machine learning, and inference.

You will collaborate with cross-functional teammates to translate business problems into reliable solutions, scale systems, and drive business growth under a Data Science Manager.