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 :
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
- 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 https : / / www.uber.com / careers / benefits.
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