Scientist II, Delivery (Multiple Teams)

Uber

Quick summary

Work type: On-site
Location: —
Salary: $161,000–$161,000 / yr
Posted: 40 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $161k

$106k most similar roles pay here $248k

This role pays less than 65% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $161k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 329 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 71 roles with salary data.

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At a glance

TL;DR · Scientist II, Delivery (Multiple Teams)

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Senior Software Engineer at Uber's Maps team, you will work on developing and enhancing the company’s mapping technologies used across various platforms. Your day-to-day responsibilities include designing scalable solutions, implementing new features, and collaborating with cross-functional teams to improve location-based services for riders and drivers worldwide. The role requires expertise in Python, JavaScript, and C++, along with experience in cloud services like AWS or GCP. Knowledge of geospatial data processing, machine learning, and real-time systems is highly beneficial. This position offers the opportunity to tackle complex challenges in a fast-paced environment, contributing to Uber’s mission of making transportation accessible and reliable for everyone.

Skills

No skills listed

What you'll do

Analyze data to optimize ride-sharing algorithms.
Develop software features enhancing user experience.
Implement security measures protecting user data.
Monitor system performance and troubleshoot issues.
Collaborate on projects with cross-functional teams.

What we're looking for

Minimum 5 years of experience in logistics or transportation industry.
Proven track record in managing large-scale operations and supply chain optimization.
Strong analytical skills with expertise in data analysis and reporting tools.
Excellent leadership abilities, including team management and employee development.
Experience in implementing technology solutions to improve operational efficiency.

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