Uber is hiring for Data Scientist

Uber is hiring for Data Scientist 

Position: Data Scientist, Data Science

Qualification: Bachelor's/ Master’s Degree

Salary: 16 - 46 LPA (Expected)

Experience: Freshers/ Experienced 

Location: Hyderabad; Bangalore, India

✅ Resume Summary for Uber – Data Scientist I Role

Data-driven professional with 2+ years of hands-on experience in analytics, statistical modeling, and building scalable data solutions. Adept at partnering with cross-functional stakeholders including product managers and engineers to deliver impactful insights and optimize product performance. Proven expertise in SQL, Python, and A/B testing, with a solid foundation in experimentation and customer analytics. Passionate about solving complex problems using data storytelling and structured hypothesis-driven thinking.

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📌 Key Achievements & Responsibilities (Resume Bullet Points)

• Built and optimized analytical frameworks supporting customer-facing products, enabling data-backed decision-making across product, engineering, and operations teams.
• Designed and managed end-to-end data pipelines for experimentation and platform health monitoring using tools like SQL and Python.
• Owned the experimentation cycle, including hypothesis generation, test design, analysis, and communication of insights leading to product improvements.
• Ensured data quality and triaged critical pipeline issues by implementing monitoring and alerting systems, reducing data inconsistencies by 30%.
• Led customer behavior analysis, identifying patterns that helped shape the roadmap for platform upgrades.
• Delivered visual dashboards and reports using tools such as Tableau (or custom Python visualizations), improving visibility into key metrics for stakeholders.
• Collaborated with product managers and data engineers to define and implement solutions to address business pain points in customer service domains.

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🔧 Skills & Technologies

• Programming & Analytics: SQL (advanced), Python, R, SAS
• Data Science & ML: A/B Testing, Statistical Modeling, Hypothesis Testing
• Data Engineering: Data pipeline development, ETL
• Visualization: Tableau, Power BI, matplotlib, seaborn
• Soft Skills: Proactive communication, Ownership mindset, Problem-solving, Agile adaptability

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🧠 Suggested Interview Preparation Topics

• Case study: Design an A/B test for a customer support feature on a mobile app.
• SQL challenge: Write a query to detect customer churn based on historical ticket resolution data.
• Behavioral: Describe a time you collaborated across departments to resolve a data quality issue.

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