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17 Weeks ago

Marketing Data Scientist I, Tech

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Information Technology
Full-Time
Uber

Overview

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 -


  • Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.
  • 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.
  • 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
- What You Will Need -


  • M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • Knowledge of 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 analysis of product usage patterns, root-cause determination, and customer feedback to identify opportunities for product enhancements & 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.
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