Marketing Data Scientist I, Tech

About the Role

We are looking for an exceptional data scientist to be a part of the marketing product science team. As a Data Scientist in this role, you will be responsible for leveraging data-driven insights and advanced analytics techniques to drive marketing strategies and optimize our product offerings. You will collaborate with cross-functional teams, including marketing, product management, and engineering, to develop data-driven solutions that enhance customer experiences and maximize business outcomes.

---- What You Will Do ----

1. Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.
2. Collaborate with measurement and optimization teams to design experiments and share readouts.
3. Develop metrics and dashboards to monitor product performance, customer engagement, and conversion rates, and provide insights for continuous improvement.
4. Partner with internal stakeholders including Operations, Product and the Marketing Technology team to develop marketing strategies and budget decisions based on data insights
5. Collaborate with marketing applied scientists on ML centered initiatives for comms and growth platform

---- What You Will Need ----

1. M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Knowledge of experimental design and analysis.
3. Strong experience in data analysis, statistical modeling, and machine learning techniques, with a proven track record of solving complex business problems
4. Meticulous attention to detail and rigorous data quality assessment to drive accurate and reliable insights
5. Excellent communication skills and stakeholder management
6. Advanced SQL expertise with a strong focus on time and space optimization
7. Proficiency in Python, and experience working with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
8. Demonstrated experience working with big data frameworks (e.g. Hadoop, Spark) and prior experience in building long running / stable data pipelines
9. Solid understanding of data visualization principles and experience with visualization tools (e.g., Tableau, Looker) to effectively communicate insights.
10. Excellent judgment, critical-thinking, and decision-making skills

---- Preferred Qualifications ----

1. Prior experience in analysis of product usage patterns, root-cause determination, and customer feedback to identify opportunities for product enhancements & new feature development.
2. Work experience in applying advanced analytics, applied science, or causal inference to marketing problems.
3. Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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 [email protected].