FAQs
What is the main responsibility of the Data Scientist II in the Customer Obsession Data Science team?
The main responsibility is to build self-service technology that enhances the Uber customer support experience, utilizing GenAI, and developing models and algorithms to identify customer intentions and improve overall customer experience.
What qualifications are required for this position?
A M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields, along with a minimum of 3+ years of industry experience and advanced SQL expertise.
Is experience with statistical methods necessary for this role?
Yes, a solid understanding of experimental design, such as A/B experiments, and other statistical methods is required.
What kind of tools should candidates be familiar with?
Candidates should have experience with Excel and some dashboarding or data visualization tools such as Tableau, Mixpanel, Looker, or similar platforms.
Are there preferred qualifications for applicants?
Yes, preferred qualifications include advanced degrees in quantitative fields, 3+ years in consumer-facing product analytics, strong storytelling skills, advanced experience with experimental design and statistical methods, and the ability to manage relationships with both technical and non-technical partners.
What is the salary range for this position?
The base salary range for this role is USD$140,000 - USD$156,000 per year, depending on location and experience.
Will I be eligible for bonuses?
Yes, all US locations will be eligible to participate in Uber's bonus program, and may also be offered equity awards and other types of compensation.
Are there benefits provided?
Yes, various benefits are available, and more details can be found at the link provided in the job description.
How important is collaboration in this role?
Collaboration is crucial, as the Data Scientist will need to work with cross-functional teams to identify opportunities, design experiments, and analyze data to drive business impact.
What soft skills are important for this position?
Strong communication skills, effective relationship management, excellent judgment, critical thinking, and the ability to navigate ambiguity are important soft skills for this role.