Data Scientist, Optimization - Pricing

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

At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

the company Ads is one of the company’s newest and fastest-growing businesses, focused on building the world’s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey—before, during, and after a ride—by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes.

The Pricing team is a centerpiece of the company’s marketplace. The team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure the company offers competitive prices while making efficient financial trade-offs. Planned Pricing is a fast-growing team within Pricing, focused on setting the most efficient price targets to drive both short term and long term business outcomes.

As a Data Scientist specializing in Algorithms on the Planned Pricing team, you will develop mathematical models for core pricing systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager.

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 different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization

• Establish metrics that measure the health of our products, as well as rider and driver experience

• Drive collaboration and coordination with cross-functional teams

• Provide coaching and technical guidance for other teammates

Experience:

• 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

• Passion for solving unstructured and non-standard mathematical problems

• End-to-end experience with data, including querying, aggregation, analysis, and visualization

• Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled

• Mental health benefits

• Family building benefits

• Child care and pet benefits

• 401(k) plan with company match to help save for your future

• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

• Subsidized commuter benefits

• Monthly the company credits and complimentary the company Pink membership

the company is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.