Data Scientist II - Brand Marketing

Uber

Uber requires a Data Scientist to join their Brand Science team, aiming to provide insights and optimization for a significant brand marketing budget. Collaborating with marketing, research, media, and creative teams, the role involves shaping marketing strategies and uncovering new opportunities to scale globally. This position plays a critical role in measurement and optimization across various regions, ensuring effective campaign strategies.

In this role you can expect to have the responsibilities:

• Design and optimize measurement strategies for brand marketing budgets using experimentation and causal inference.
• Collaborate with internal teams to develop customer insights to inform marketing strategies.
• Analyze large datasets to identify promising marketing tactics and customer behaviors.
• Work alongside Applied Scientists to utilize causal inference models for advanced campaign evaluations.
• Explore marketing effectiveness and interaction effects through research questions.
• Present insights to senior leadership regularly.

This role comes with the following benefits:

• Eligibility for Uber's bonus program.
• Potential equity awards.
• Various additional benefits.

This role requires you to have:

• Ph.D., M.S. or Bachelor's degree in a quantitative field.
• Experience with Python, R, and SQL.
• Strong knowledge of experimental design and data analysis.
• Capability to translate data findings into strategic insights.

You would benefit from having:

• Superior communication skills for stakeholder engagement and presentations.
• Familiarity with causal inference and econometrics.
• Adaptability in using imperfect data.
• Experience in marketing analytics or market research.
• Understanding ad products and measurement solutions from publishers.

The position is based in New York, NY or San Francisco, CA with specific salary ranges. The role includes opportunities for bonus participation and other compensation.