Data Scientist II, Tech

Uber • San Francisco, CA

392d • $140,000 - $156,000

About The Position

The Data Scientist II position at Uber focuses on enhancing customer support experiences through data-driven insights and self-service technology. The role involves collaborating with cross-functional teams to design and analyze experiments, build models and algorithms, and improve customer interactions with Uber's support services. The ideal candidate will leverage advanced analytics and machine learning to drive business impact and ensure high-quality customer experiences.

Requirements

• M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• A minimum of 3+ years of industry experience is required.
• Advanced SQL expertise.
• Solid understanding of experimental design (such as A/B experiments) and statistical methods.
• Ability and experience in extracting insights from data, and summarizing findings/takeaways.
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).

Nice To Haves

• Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field.
• 3+ years of industry experience in consumer-facing product analytics.
• Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
• Advanced experience with experimental design and statistical methods such as causal inference.
• Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
• Excellent judgment, critical thinking, and decision-making skills.
• Ability to tackle sophisticated business problems that cross multiple product/project areas and teams.
• Balance attention to detail with swift execution.
• Proven ability to identify key stakeholders and manage high expectations.

Responsibilities

• Collaborate with cross-functional customers to find opportunities, design, implement and analyze experiments, and perform deep dives to drive business impact.
• Understand business goals and apply appropriate analytics, causal inference, experimentation, and machine learning to provide practical insights to business partners.
• Work closely with the Engineering teams to create data instrumentation and improve data quality.
• Communicate optimally with non-technical customers on technical topics.
• Maintain focus and efficiency and be able to navigate among ambiguity.

Benefits

• Participation in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed on Uber's careers page.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transit and Ground Passenger Transportation
• Education Level: Bachelor's degree