Job Overview:
Uber is looking for a Data Scientist (Product Analytics) to join its growing analytics team in Hyderabad or Bangalore, India. In this role, you will collaborate with multiple cross-functional teams to deliver scalable data solutions for Uber’s Customer Obsession Platform. You will work closely with product managers, engineers, and data teams to create impactful product roadmaps, build analytical frameworks, and provide critical insights for decision-making.
Job Details:
Company: Uber Technologies Inc.
Job Position: Data Scientist (Product Analytics)
Location: Hyderabad, India | Bangalore, India
Qualification: Bachelor’s or Master’s degree in Engineering, Computer Science, Math, Economics, Statistics, Operations Research, or equivalent experience
Experience: 2+ years with a Bachelor’s degree OR 1+ year with a Master’s degree in a data-focused role
Salary: Competitive, based on experience and qualifications
Work Type: Full-Time (Hybrid, with at least 50% in-office work required)
Key Responsibilities:
- Collaborate with cross-functional global teams to deliver scalable data solutions.
- Build analytical frameworks to support product analytics for the Customer Obsession Platform.
- Partner closely with product managers, engineers, and data teams to define and execute product roadmaps.
- Scope business problems and provide a data-driven perspective to product design.
- Own the experimentation cycle from concept to global rollout, including impact estimation and long-term monitoring.
- Proactively communicate insights to drive project alignment with team goals.
- Ensure data quality across critical pipelines and set up processes to triage data issues.
- Build and maintain critical data pipelines, insight boards, and monitoring tools for platform health.
- Seek out opportunities to develop new solutions for customer and business pain points.
- Collaborate with engineering teams to optimize data flows and improve data accessibility.
- Use data visualization tools to communicate complex data insights effectively.
- Stay current with industry trends and best practices in data science and analytics.
- Contribute to the creation of automated solutions for data-driven decision-making.
- Support continuous improvement initiatives by identifying process bottlenecks and data quality issues.
- Participate in post-launch performance evaluations to refine data-driven strategies.
Required Skills and Knowledge:
- Proficiency in statistical programming languages like SQL, R, SAS, or Python.
- Experience in product analytics, business analytics, risk analytics, or data science.
- Strong data manipulation and analysis skills.
- Proven ability to handle and visualize large datasets.
- Excellent problem-solving and critical thinking abilities.
- Ability to work independently and as part of a team.
- Strong communication skills, with the ability to clearly present complex data insights.
- Entrepreneurial mindset with a proactive, self-starting attitude.
Preferred Qualifications:
- Mastery of SQL with experience writing complex, efficient queries.
- Experience in A/B testing, statistical modeling, and data experimentation.
- Familiarity with customer service domains in a tech or analytics services environment.
- Ability to turn raw data into actionable insights and business recommendations.
- Strong sense of ownership and accountability.
About Uber Technologies Inc.:
Uber is a global leader in mobility, transforming how the world moves. With services spanning rides, deliveries, freight, and business solutions, Uber is committed to building a future where transportation is accessible and convenient for everyone. With a focus on innovation, sustainability, and customer obsession, Uber continues to redefine the transportation industry.
Why Join Uber Technologies Inc.:
- Work at the forefront of data science and analytics in a global tech leader.
- Competitive compensation and benefits package.
- Opportunity to work on impactful, large-scale data projects.
- Collaborative, innovative, and diverse work culture.
- Access to cutting-edge tools and technologies.
- Continuous learning and career growth opportunities.
- Be part of a mission-driven company with a commitment to sustainability.
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