Senior Applied Scientist - Marketplace Pricing/Incentives

    • Uber Corporate
  • San Francisco, CA
  • Posted 60+ days ago | Updated 9 hours ago

Overview

On Site
USD 174,000.00 - 193,500.00 per year
Full Time

Skills

Business planning
Use cases
Operations research
Operations management
Machine Learning (ML)
Design of experiments
Data Analysis
Big data
Qualitative Research
Pricing
Distribution
Management
Optimization
Collaboration
Expect
Algorithms
Statistics
Mathematics
Economics
Amazon Web Services
Apache Hadoop
Apache Spark
Apache Pig
Apache Hive
Python
SQL
R
Data

Job Details

About the Role

Have you ever ordered food on Uber and when your order arrived wondered how it got to you so fast? Wondered where it came from and how much it would have cost Uber? If so, the Uber marketplace team is for you.

We build systems to look into the future and estimate the distribution of millions of orders worldwide and manage the demand on Uber Delivery marketplace. We build solutions that decide which restaurant is available at what distance at the right price. The tools we create are being sought after by diverse business planning use cases.

We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Uber's scale. Specifically, in this role, you will develop solutions to understand the interaction between Customers, Merchant and Uber platform. You will be designing and implementing cutting edge optimization models and will be collaborating with business and software teams to solve key challenges facing merchants such as product recommendations, understanding capacity limitation, predicting future demand, designing contracts etc.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. We expect you to deliver end-to-end solutions rather than algorithms, and you will work closely with the engineers on the team to productionize, scale, and deploy your models world-wide.

---- Basic Qualifications ----
  • 2+ years of applying scientific principles and concepts to business problems
  • Ph.D. degree in Operations Research, Operations Management, Statistics, Mathematics, Economics, Machine Learning, or other relevant quantitative fields
  • Knowledge of experimental design and analysis
  • Experience with exploratory data analysis and model development
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
  • Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
  • Experience communicating qualitative research methods and findings to non-qualitative researchers

  • ---- Preferred Qualifications ----
  • 4+ years of industry experience.
  • Experience in Revenue Management and Pricing
  • Expertise in Operations Management and Supply Chain Management
  • Experience in Mechanism Design
  • Experience in Forecasting
  • Experience in Consumer Choice Modelling
  • Experience in User Experience research methods (qualitative and quantitative)
  • Present findings to senior management to inform business decisions

  • Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .

    Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

    For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

    For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

    For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

    Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .

    Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.