Data Scientist II, Tech

San Francisco, CA, US • Posted 13 hours ago • Updated 17 minutes ago
Full Time
On-site
USD $142,000.00 - 174,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Personas
  • AV
  • Audiovisual
  • Analytics
  • Machine Learning (ML)
  • Instrumentation
  • FOCUS
  • Mathematics
  • Economics
  • Bioinformatics
  • Statistics
  • Information Management
  • Chemical Engineering
  • SQL
  • Python
  • R
  • Apache Spark
  • Data Manipulation
  • Modeling
  • Regression Analysis
  • Testing
  • Time Series
  • Tableau
  • Dashboard
  • Extract
  • Transform
  • Load
  • Git
  • JIRA
  • Microsoft Office
  • Sprint
  • Workflow
  • Stakeholder Management
  • Analytical Skill
  • Law
  • Legal
  • Collaboration

Summary

Employer: Uber Technologies, Inc.

Job Title: Data Scientist II, Tech

Job Location: San Francisco, California

Job Type: Full Time

Rate of Pay: $142,000 to $174,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Duties: Develop and continue improving self-service technology, including GenAI-powered AI agents, for various customer personas, including AV customers. Collaborate with cross-functional teams to identify opportunities, design, implement, and analyze experiments, and conduct deep dives to drive business impact. Apply analytics, causal inference, experimentation, and machine learning to business goals to provide practical insights. Work with Engineering teams to ensure data instrumentation and quality. Effectively communicate technical topics to non-technical stakeholders. Maintain focus and efficiency while navigating ambiguous situations. May telecommute.

Employer will accept a Bachelor's degree in Mathematics, Economics, Bioinformatics, Statistics, Information Management, Chemical Engineering, or related field and 3 years of experience in the job offered or in a related occupation.

Position requires:

1. SQL, Python/R, Spark;
2. Data manipulation, modeling, and validation on large-scale datasets ensuring reproducible and scalable workflows;
3. Designed and led A/A, A/B, and multivariate tests using uplift modeling and diff-in-diff methods to measure causal impact;
4. Applied regression, hypothesis testing, and time-series analysis ensuring analytical soundness and business reasonability;
5. Created Tableau, Looker, and internal dashboards, distilling complex insights into concise, compelling stories for executive stakeholders;
6. Automated ETL pipelines across distributed data platforms and virtual warehouses, ensuring sustainable, version-controlled workflows.
7. Git, Jira, Google/MS Office Suite and sprint-based workflows;
8. Demonstrated stakeholder management, partnered cross-functionally across time zones, influenced experimentation strategy and ensured analytical rigor and transparent delivery.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90958168
  • Position Id: db1b5cca936f34513572d01188fa02c9
  • Posted 13 hours ago
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