Job Description

We're looking for Masters candidates to intern during summer 2022 (12 weeks). You will be embedded in a team and work closely with other applied scientists, engineers, marketers, and product managers under the supervision of an applied scientist on that team.

About the Role

We are hiring interns to work in the Marketing Applied Science team. Marketing Applied Science informs decisions across Uber's global marketing efforts, accelerating both demand and supply growth worldwide. We use advanced statistical modeling, machine learning, or data mining techniques in a scalable manner including large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more. Interns on the team will work on projects such as:

Assisting in prototyping causal inference methods and econometric models to estimate the efficiency of our marketing spend.
Building propensity models to aid in the growth and profitability of different Uber products (Uber Rides Pass, Eats Pass, etc.).
Developing a recommendation system to understand cuisine preferences at a user-level.
Productizing marketing models and enhancing their scalability and stability through platformization.

Identifying and implementing improvements to our bidding, budgeting and creative optimization algorithms on Uber's advertising channels like Google, Facebook, etc.

What You'll Do

Work with your mentor closely to scope a project, define the problem, and develop and prototype the solution using data-driven approaches.
Work with engineers and product managers to turn data science prototypes into robust, reliable solutions.
Conduct experiments and present findings to business leaders to facilitate product decisions.
Deploy standard methodologies for data science including modeling, coding, analytics, optimization, and experimentation.

Basic Qualifications

Current masters student majoring in Computer Science, Economics, Statistics, Data Science, Machine Learning, Operations Research, or other quantitative fields.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience with exploratory data analysis, statistical analysis and model development.
Proficiency in languages like SQL and Python.

Preferred Qualifications

Anticipated graduation between winter 2022 - summer 2023.
Ability to communicate effectively with both technical and business partners.
Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation.
Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference.
Independence, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered.