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Uber Hiring: Data Scientist I – Hyderabad/Bangalore (Hybrid) | Apply Now

Uber Hiring for Data Scientist

Job Title: Data Scientist I – Core Services
Job ID: Not Disclosed
Location: Hyderabad, India | Bangalore, India (Hybrid)
Employment Type: Full-Time
Batch: Open to all eligible batches meeting the qualifications
Experience: 2+ years (with Bachelor’s) OR 1+ year (with Master’s)
Salary: As per Industry Standards
Qualification: Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Economics, Statistics, or equivalent experience
Certifications if any: Not mandatory, but certifications in Data Science, SQL, Python, or statistical analysis tools will be considered an added advantage


About Us

Uber is one of the most recognized names in the global technology ecosystem, shaping the future of transportation, delivery, and mobility. With operations in hundreds of cities worldwide, Uber aims to make movement as simple and efficient as possible. Our platform connects riders, drivers, businesses, and communities, providing fast, reliable, and innovative solutions.

At Uber, we believe in the power of data-driven decisions to revolutionize industries and improve user experiences. Our teams are dedicated to building scalable technologies that make everyday life easier while ensuring safety, sustainability, and inclusivity. We encourage creativity, innovation, and collaboration, giving employees opportunities to make an impact on a global scale.


Key Responsibilities
  • Develop scalable analytics frameworks to support the data needs of Uber’s Customer Obsession Platform, ensuring seamless integration across multiple services.

  • Collaborate with global teams including product managers, software engineers, data analysts, and operational teams to design and implement impactful solutions.

  • Manage the full experimentation cycle—design A/B tests, run statistical analyses, interpret results, and guide products through full global rollout stages.

  • Ensure high data quality and reliability by creating validation mechanisms, monitoring pipelines, and resolving inconsistencies.

  • Build and maintain large-scale data pipelines and dashboards that track key business and customer metrics.

  • Identify opportunities for optimization and create innovative data products that solve pressing customer and business challenges.

  • Translate raw data into meaningful insights and actionable recommendations that align with company goals.

  • Support long-term product monitoring by defining success metrics, setting up health checks, and ensuring sustainable performance.

  • Communicate findings proactively with stakeholders, ensuring alignment between data analysis and product strategies.

  • Document methodologies and maintain structured data processes to improve operational efficiency and knowledge sharing.


Required Skills
  • Expertise in SQL with the ability to write efficient, complex queries for large datasets.

  • Hands-on experience with Python or R for statistical analysis, data wrangling, and automation tasks.

  • Knowledge of statistical modeling techniques, A/B testing frameworks, and experimentation design.

  • Ability to handle, clean, and transform large volumes of structured and unstructured data.

  • Strong quantitative, analytical, and problem-solving skills.

  • Ability to manage projects independently while collaborating with cross-functional teams.

  • Exceptional communication skills to simplify complex data concepts for a variety of stakeholders.

  • High adaptability to work in fast-paced, agile environments where priorities can change quickly.

  • Demonstrated passion for data analysis and a proven record of delivering insights that influence business outcomes.

  • Strong sense of ownership and accountability for assigned projects.


Preferred Skills
  • Prior experience in Customer Service analytics or related areas in technology or analytics-focused companies.

  • Familiarity with data visualization tools like Tableau, Power BI, or equivalent platforms.

  • Knowledge of cloud-based data warehouses and ETL processes.

  • Experience in supporting large-scale products that serve millions of users across diverse geographies.

  • Understanding of machine learning fundamentals and advanced statistical techniques.

  • Ability to craft insightful dashboards that facilitate quick decision-making.

  • Entrepreneurial mindset with a proactive approach to discovering and solving business problems.

  • History of effectively managing multiple priorities while maintaining attention to accuracy and detail.

  • Strong organizational skills with the ability to document processes, models, and pipelines.

  • Enthusiastic learner eager to adopt new technologies, frameworks, and analytical tools.


Perks & Benefits
  • Competitive salary aligned with market standards.

  • Comprehensive healthcare coverage including medical, dental, and vision plans.

  • Generous paid leave policy, parental benefits, and flexible work arrangements.

  • Access to employee wellness programs, counseling, and support services.

  • Work in a collaborative and inclusive culture that values innovation and diverse perspectives.

  • Modern, well-equipped office spaces designed to support productivity and teamwork.

  • Learning and development opportunities, including access to advanced tools and internal training programs.

  • Career progression pathways with regular performance reviews and mentorship support.

  • Global exposure and opportunities to collaborate with professionals from different regions.

  • Performance-based bonuses, recognition programs, and additional employee perks.


Why Join Us?

Uber is more than just a company—it is a platform where ambitious individuals can transform ideas into world-changing realities. Joining Uber means becoming part of a global team committed to redefining mobility, creating smarter solutions, and driving innovation at scale.

At Uber, you will:

  • Impact millions of users worldwide by working on high-scale products and services.

  • Collaborate with some of the best minds in data science, engineering, and technology.

  • Gain access to continuous learning opportunities and cutting-edge analytical tools.

  • Thrive in an environment that values creativity, agility, and experimentation.

  • Contribute to a culture that promotes diversity, inclusion, and respect for all backgrounds.

  • Take ownership of meaningful projects that accelerate both personal and professional growth.

  • Join a forward-thinking organization that invests in sustainable practices and innovative technologies.

Uber offers a workplace where you can be yourself, think boldly, and build solutions that have a tangible impact on people’s lives every single day.


How to Apply
Apply Now: Click Here to Apply
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