EMEA Data Scientist I, Ops
About the Role
The EMEA Data Science Ops team goal is to enable EMEA Ops org to improve their decision-making by using modeling capabilities to make better decisions and to measure the effectiveness of their decisions and actions via experimentation and quasi-experimentation.
Your primary responsibilities will revolve around these two pillars, 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 usingCausal Inference models for policy evaluation, Optimization models for pricing, or investment challenges, among other tools.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Reporting to the Data Science Manager leading our Data Science Ops team, this person will be responsible for:
1. Modeling, including building or validating existing optimization and predictive ML models.
2. 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
3. Causal Inference: using inference techniques to evaluate actions and policies, particularly in cases where experimentation is not an option.
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.
---- Basic Qualifications ----
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
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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 - Operations Research, 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program