Uber Data Scientist II - Brand Marketing 

United States, West Virginia 

481228558

About the Role

You will be the DS lead for an entire region, e.g. APAC, LATAM, US&C, responsible for measurement and optimization of all brand marketing in the region. Beyond designing measurement and experimentation plans for campaigns, you will analyze effectiveness data across campaigns, understand customer behavior to inform campaign tactics, and perform ad hoc analysis to address overarching questions.

Problems we’re working on include:

1. How long can we run a creative asset before it hits diminishing returns due to wear out?
2. What is the long-term impact of brand marketing and can we quantify it?
3. What is the most effective way to target users of strategic interest?
4. What are the most signal-rich proxies to use for optimization?

What You'll Do:

• Design measurement and optimization for a large brand marketing budget, using a toolset ranging from experimentation to survey-based methods and causal inference
• Work closely with our media, research and marketing teams to develop actionable customer insights and recommendations to guide high level marketing strategy and inform improvements through the course of the campaign lifecycle
• Leverage rich internal databases to mine patterns on winning marketing tactics and understand customer behavior to inform marketing briefs
• Collaborate closely with Applied Scientists to leverage causal inference models for advanced campaign measurement and optimization
• Tackle open-ended questions about marketing effectiveness, interaction effects, incrementality & related topics
• Regularly present insights and learnings to executive leadership

Basic Qualifications

• Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields
• Experience with data analysis and visualization tools, such as Python, R
• Experience with SQL on large multi-table data sets
• In-depth understanding of and experience with experimental design
• Ability to translate data science findings into strategy

Preferred Qualifications

• Excellent communication skills to understand stakeholder needs, set expectations around feasibility, translate business challenges into research questions, and present findings to non-technical audiences
• Familiarity with causal inference and econometrics techniques to measure incrementality
• Experience identifying and adapting to imperfect data
• Intellectual curiosity and a demonstrated ability to provide thought partnership to executive stakeholders
• Experience with marketing analytics, marketing measurement or market research
• Understanding of capabilities offered by publishers including ad products, brand lift and measurement solutions
• Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones

For New York, NY-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.