Product Data Scientist
@ Uber

Amsterdam, North Holland, Netherlands
€120,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @uber.com
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Job Details

About The Role

Uber is looking for a Product Data Scientist to join the Payments Data Science and Analytics team in Amsterdam. In this role, you will work with product managers, engineers and fellow data scientists to shape the direction of one or more products within Payments. You will tackle fast-moving, high-stakes problems that impact a global audience. A deep analytical passion and the ability to execute on key business priorities is essential.

What You Will Do

  • Analyze key data assets to understand payment experiences.
  • Develop and monitor strategic metrics along with underlying factors.
  • Design and run experiments to assess product changes.
  • Deep dive into data to evaluate product modifications and opportunities.
  • Collaborate with product managers and business leaders using data insights.
  • Communicate findings to cross-functional peers and management.

What You Will Need

  • Bachelor's or M.S. in Statistics, Economics, Computer Science, or related quantitative field.
  • 3+ years experience improving products and analyzing user journeys.
  • Advanced SQL expertise.
  • 3+ years launching experiments and familiarity with experimental design and statistical analysis.
  • Experience with dashboarding/data visualization tools such as Google Data Studio, Tableau, Mixpanel, or Looker.
  • Ability to work independently with superb communication and organization skills.
  • Prior experience in the payments industry.

Preferred Qualifications

  • Solid experience with Python or R.
  • Experience with data engineering and pipeline creation.

Key skills/competency

  • Data Science
  • Payments
  • SQL
  • Experimentation
  • Python
  • Statistics
  • Data Visualization
  • Analysis
  • Communication
  • Product
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How to Get Hired at Uber

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight relevant data science skills.
  • Research Uber: Understand their payments strategy and culture.
  • Emphasize experiment design: Showcase A/B testing expertise.
  • Prepare for technical interviews: Practice SQL, Python, and statistics questions.
  • Showcase communication: Demonstrate your ability to convey analytical findings effectively.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries.
Practice Python/R coding challenges.
Analyze data visualization case studies.
Study experimental design methods.

Behavioral Questions

Describe a complex data project.
Explain communication with cross-functional teams.
Discuss handling fast-paced changes.
Detail self-guided project management.

Frequently Asked Questions