EMEA Data Scientist I, Ops

About the Role

Your primary responsibilities will revolve around these two pilars, modeling and experimentation: aligning with business objectives, formulating clear problem statements, and managing data through collection, cleaning, and structuring. You will also conduct analytical explorations, apply experimentation techniques and modeling, and effectively communicate the results.

You will explore opportunities across a range of topics. This includes designing and executing experiments within the Uber marketplace and using ML to improve our personalization models. Additionally, you will work using Causal Inference models for policy evaluation, Optimization models for pricing or investment challenges, among other tools.

What the Candidate Will Need

Reporting to the Data Science Manager leading our Data Science Ops team, this person will be responsible for:

1. Experimentation, including designing and executing experiments to test / answer specific business questions, or to support launch and roll out plans of new products or features
2. Causal Inference: using inference techniques to evaluate actions and policies, particularly in cases where experimentation is not an option.
3. Modeling, including building or validating existing optimization and predictive ML models.
4. Stakeholder Management; build strong relationships with teams in both central and local operations, to help identify, shape, execute and evaluate business opportunities underpinned by advanced quantitative methods

What You'll Need

1. 2+ years of experience (Bachelor) or 2+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
2. Postgraduate degree / research experience in STEM subjects
3. Strong knowledge in SQL, Python (for Data Science)
4. Fundamental knowledge of causal inference, experimentation, and econometrics statistics methods for analytical problems
5. Ability and motivation to learn and quickly apply new quantitative methods and techniques to business contexts.
6. Love of data - you just go get the data you need and turn it into an insightful story.
7. A well-organized, structured approach to problem-solving

Preferred Qualifications

1. You have Stakeholder mgmt. experience, ideally in a business context
2. Strong interpersonal skills with the ability to be an excellent team player and assist colleagues.
3. The ability to communicate effectively and to coordinate multiple stakeholders in ambiguous circumstances
4. Experience working with one or more of the following expertise fields: Causal ML, Optimization - OR, Machine Learning

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s): Amsterdam, Netherlands

Job ID: Uber-148967

Employment Type: FULL_TIME

Posted: 2025-11-19T00:30:19