Uber is hiring for a fresher entry level Data Scientist (Product Analytics)

Position:

• Title: Data Scientist II (Product Analytics)
• Team: Customer Obsession Data Science
• Level: Mid-level Professional

Company:

• Name: Uber
• Industry: Internet Marketplace Platforms
• Size: 10,001+ employees

Location:

• City: Bangalore
• Country: India

Job Type:

• Category: Full-Time
• Contract: Permanent

Job Mode:

• Work Environment: Hybrid (Office-based and Remote)

Job Requisition ID:

• Reference: Not provided

Years of Experience:

• 0-3 years
  

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Company Description

• Global Presence: Uber is a renowned global platform revolutionizing how people and goods move.
• Origin: Founded in 2008 on a snowy night in Paris, Uber has been a pioneer in transportation and logistics.
• Mission: Uber is dedicated to helping people go anywhere and get anything, emphasizing flexible earning opportunities.
• Core Values:
  • Relentless pursuit of innovation.
  • Commitment to providing world-class customer support.
  • Emphasis on safety with robust background checks and real-time verification.
• Expansion:
  • From ride-sharing on 4 wheels to deliveries on 2 wheels and 18-wheel freight trucks.
  • Services ranging from takeout meals to daily essentials and prescription drugs.
• Culture: The spirit of reimagination and reinvention is deeply ingrained in Uber’s DNA.
• Future Outlook: Continuous growth with a vision of facilitating independent movement for everyone and everything worldwide.

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Profile Overview

• Role: Data Scientist II focusing on Product Analytics.
• Team Interaction: Collaborate with CO engineering, product, and design teams.
• Objective: Enhance customer support experiences within the Uber app and live channels.
• Responsibilities:
  • Engage in A/B testing and experimentation.
  • Utilize advanced statistics and causal inference techniques.
  • Knowledge in machine learning is beneficial.
• Workflow:
  • Define business problems and provide data-driven insights.
  • Oversee experimentation cycles leading to global rollouts.
  • Assess the impact of data science initiatives on product development.
• Collaboration:
  • Work closely with product managers and engineers.
  • Contribute to the end-to-end data science workflow.
• Expectation: A proactive approach to reimagining and enhancing customer support mechanisms.

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Qualifications

• Basic Qualifications:
  • Education: Bachelor's in Engineering or Master's in Quantitative Fields like Statistics, Operations Research, or Economics.
  • Skills:
    • Proficient in SQL.
    • Strong foundation in A/B Testing and Experimentation.
    • Advanced statistical knowledge.
    • Expertise in Product Analytics.
• Preferred Qualifications:
  • Additional Skills:
    • Knowledge of Econometrics.
    • Experience with Tableau or similar dashboarding tools.
  • Experience: Prior experience in product-centric companies is advantageous.
• Soft Skills:
  • Passion for data science and problem-solving.
  • Strong collaborative spirit to work in cross-functional teams.
• Opportunities for Growth:
  • Uber encourages curiosity and a forward-thinking approach.
  • Chance to contribute to a future where mobility is more accessible and efficient.

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Any Additional Info

• Work Environment:
  • Offices are central to Uber's collaboration and culture.
  • Hybrid work mode expected, with significant time spent in the office.
• Special Roles:
  • Certain roles, such as those in green-light hubs, require full-time office presence.
  • Remote work arrangements may be considered with formal approval.
• Accommodations:
  • Available for religious or medical conditions as required by law.
  • To request accommodations, contact accommodations@uber.com.
• Diversity and Inclusion:
  • Uber values diversity and encourages applications from all backgrounds.
  • The company seeks individuals who can contribute to a culture of inclusivity and innovation.
• Future Prospects:
  • Opportunity to work in a dynamic, fast-paced environment.
  • Engage in meaningful projects that impact millions of users globally.

Please click here to apply.

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