Search for PhD internships in Data Science or Economics, preferably in New York, focusing on machine learning and optimization, with a requirement for coding skills in Python or SQL.

Okay, I found several PhD internship opportunities in Data Science and Economics in New York that emphasize machine learning and optimization, and require skills in Python or SQL. Specifically, I have located 25 positions that match your criteria.

PhD Internship

New York, NY

Data Science

Machine Learning

Python

SQL

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The primary focus of the 2025 PhD Scientist Internship within the Eater Pricing and Incentives team at Uber is to develop data-driven pricing models that optimize the marketplace dynamics among eaters, couriers, and restaurants. The role is embedded in a product team, meaning the intern will directly contribute to real-world problem-solving that significantly impacts operations. Core responsibilities include defining business problems, scoping projects, and developing solutions using quantitative methods. This involves collaboration with a diverse range of professionals, from software engineers to product managers, to turn prototypes into scalable solutions. Strong problem-solving skills are crucial, as is the ability to communicate complex insights effectively. Success in this role will be measured not just by technical prowess but also by the intern’s capacity to engage intimately with cross-functional teams, make data-informed decisions, and influence the marketplace's pricing strategy through experimentation. A robust grasp of analytical and statistical methodologies, along with coding proficiency, will be key to navigating the complexities inherent in a three-sided marketplace such as Uber Eats.

Company Analysis:

Uber operates at the intersection of technology and on-demand services, promoting a culture of relentless innovation and reimagination. As a growing disruptor in the transportation and food delivery industry, Uber maintains a dynamic, fast-paced environment that emphasizes agility, creativity, and strategic problem-solving. For the intern, this means being part of a company that values forward-thinking solutions and proactive engagement in its mission. Team dynamics appear to foster collaboration, as evident from the mention of working closely with various roles within the product team. A successful candidate should expect a hands-on approach to learning, aligned with Uber's commitment to data-driven decision-making. The strategic importance of this internship aligns with Uber's long-term objectives of refining its service offerings and understanding consumer behavior in real-time, positioning the intern's contributions as integral to the company's growth and operational efficiency.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you used data analysis to solve a complex problem. What was your approach, and what did you learn from the experience?
Describe a specific project where you applied advanced statistical methods. What were the key challenges, and how did you overcome them?
Can you provide an example of a time when you had to work with a cross-functional team? How did you navigate any conflicts or challenges?
How have you ensured effective communication with both technical and non-technical stakeholders in your past experiences?
Which coding tools and programming languages are you most comfortable using for data analysis? Can you walk me through a project where you utilized these tools?
What methodologies do you typically use for A/B testing, and how do you analyze the results to inform business decisions?
Imagine you are given a dataset that includes varying delivery times and customer satisfaction scores. How would you approach analyzing this data to inform pricing strategies?
Suppose you identify a trend suggesting that demand for Uber Eats increases significantly during certain times of the week. How would you utilize this information in your pricing decisions?
Why are you interested in working specifically at Uber, and how do you think your skills as a scientist align with the company's mission?
How do you think your background in economics and data analysis will contribute to solving pricing challenges within Uber Eats?
What excites you most about the opportunity to work in a fast-paced, innovative environment like Uber?
If you were to join our team, what would be your immediate priorities during the first few weeks of your internship?
Can you discuss a piece of feedback you received in the past that was particularly impactful? How did you implement it?
What questions do you have about the Eater Pricing and Incentives team and its role within Uber's broader strategy?
How do you envision your work contributing to the overall success of Uber's marketplace dynamics?

Job Details

Overview Company

PhD Scientist Intern

$67/h

Uber

25 days ago

Highlight

OnsiteInternEntry

Summary

Uber is seeking a 2025 PhD Scientist Intern for their Eater Pricing and Incentives team in the United States. The role involves working on real-world Uber problems, collaborating with cross-functional teams, and developing data-driven solutions.

About the Role

As a Scientist Intern, you will be embedded in a product team, working on solving pricing problems to maximize efficiency in Uber Eats' three-sided marketplace. You will define business problems, develop prototypes, and work with engineers and product managers to create scalable solutions. The role includes presenting findings to leaders and conducting experiments to drive business decisions.

About You

Required:

Pursuing a Ph.D. in Economics, Operations Research, Statistics, Machine Learning, or related quantitative fields.
At least one semester/quarter left of education after the internship.
Strong problem-solving and analytical abilities.

Preferred:

Coding proficiency in R, Spark, SQL, Python, and AB Testing.
Background in data visualization using tools like Tableau, Mixpanel, or Looker.
Knowledge of statistics, machine learning, optimization, stochastic processes, economics, and analytics.
Experience in Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, Transportation.
0-2 years of prior work experience in an analytical setting.
Organized, detail-oriented, and able to work independently on multiple projects.
Effective communication with both technical and business partners.
Open to feedback and excellent at implementing new ideas.
Research mentality with a bias towards action.
Independence, self-starter mindset, excellent communication, and outstanding follow-through.

Benefits

Base hourly rate of $67.00 for New York, NY and San Francisco, CA-based roles.
Eligibility for various benefits across all US locations.

Uber

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

New York, NY