Uber Marketing Data Scientist II Tech 

United States, West Virginia 

218361753

About the Role

- - - - What the Candidate Will Do ----

1. Collaborate with measurement and optimization teams to design experiments and share readouts.
2. Develop metrics and dashboards to monitor product performance, customer engagement, and conversion rates, and provide insights for continuous improvement.
3. Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.
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

- - - - Basic Qualifications ----

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.

* 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 .