Data Scientist, Marketing

Company:  Marketing Tip
Location: San Francisco
Closing Date: 22/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Uber is looking for a Data Scientist in Marketing to support their Global Delivery Marketing teams. This role focuses on A/B testing, creating dashboards, and deriving insights to optimize marketing efforts. The team thrives on collaboration and prioritization to meet strategic goals.

In this role you can expect to have the responsibilities:

  • Collaborate with Global Delivery Marketing teams on campaign analyses, A/B testing, experiment design, and KPI measurement.
  • Design business analysis, maintain dashboards, and ensure reliable performance measurement against KPIs, projections, and historical data.
  • Perform root cause analysis to inform business decisions.
  • Analyze and optimize the performance and ROI of marketing channels for acquisition and engagement.
  • Contribute to long-term marketing strategies, considering immediate and future implications.

This role comes with the following benefits:

  • Base salary range of $165,000 to $183,000 annually.
  • Eligibility to participate in Uber's bonus program.
  • Potential to receive equity awards and other compensation.
  • Access to various benefits through Uber.

This role requires you to have:

  • Bachelor's degree in science or engineering, or equivalent work experience.
  • 3 years of experience with SQL databases.
  • Proficiency in data visualization and report creation using tools like Tableau, Excel, or Google Sheets.
  • Excellent communication and attention to detail.

You would benefit from having:

  • Expertise with SQL databases such as Presto, Vertica, Redshift, or Hadoop.
  • Familiarity with statistics, regression analysis, and causal analysis.
  • Experience working with imperfect data.
  • Proficiency in Python, R, or another scripting language.
  • Resourcefulness and a proactive attitude.
  • Ability to contribute new ideas and communicate them effectively to stakeholders.
  • Commitment to continuous learning and innovation.
  • Passion for data, with the ability to turn data into actionable insights.

For more details on benefits, visit

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