Uber - Data Scientist - CRM Platform

We are looking for an exceptional data scientist to be a part of the CRM platform data 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 applied and data science, marketing, product management, and engineering, to develop data-driven solutions that enhance customer experiences and maximize business outcomes.

Responsibilities :

- Collaborate with measurement and optimization teams to design experiments and share readouts.

- Develop metrics and dashboards to monitor product performance, customer engagement, and conversion rates, and provide insights for continuous improvement.

- Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.

- Partner with internal stakeholders, including Operations, Product, and the Marketing Technology team, to develop marketing strategies and budget decisions based on data insights.

- Collaborate with marketing applied scientists on ML-centered initiatives for comms and growth platform.

Requirements :

- M. S., or a Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. Knowledge of the underlying mathematical foundations of statistics, optimization, economics, and analytics. Knowledge of experimental design and analysis.

- Strong experience in data analysis, statistical modeling, and machine learning techniques, with a proven track record of solving complex business problems

- Meticulous attention to detail and rigorous data quality assessment to drive accurate and reliable insights

- Excellent communication skills and stakeholder management

- Advanced SQL expertise with a strong focus on time and space optimization

- Proficiency in Python, and experience working with data manipulation and analysis libraries (e. g., Pandas, NumPy, scikit-learn).

- Demonstrated experience working with big data frameworks (e. g. Hadoop, Spark) and prior experience in building long-running/stable data pipelines

- Solid understanding of data visualization principles and experience with visualization tools (e. g., Tableau, Looker) to effectively communicate insights.

- Excellent judgment, critical thinking, and decision-making skills

Preferred Qualifications :

- Prior experience in the analysis of product usage patterns, root-cause determination, and customer feedback to identify opportunities for product enhancements and new feature development.

- Work experience in applying advanced analytics, applied science, or causal inference to marketing problems.

- Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.