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Data Engineer - Uber Freight (Chicago)

Freight, Engineering en San Francisco, CA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

 

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

 

About the Role

 

You will take on the challenge of understanding the complex Freight industry and use your data expertise to establish order from chaos. You will be working as part of the Marketplace Dynamics Engineering team at Uber Freight, which assists the interactions between different market participants. Your work will enable Pricing, Matching and Health efforts of the Marketplace Dynamics team. You will work closely with a cross functional team of Engineers, Data Scientists & Operation Analysts to automate and optimize Uber Freight’s business. You will build foundational dataset to power analytics as well as feature sets to power machine learning models.

What You’ll Do
  • Architect Uber Freight’s canonical data, which will be central to all decision making processes across systems and operations.
  • Partner with Uber Data engineering team and evolve data platform tech to empower Freight eng teams to self serve their own data needs.
  • Build centralized machine learning feature store for all data science models in Uber Freight
  • Drive data efforts related to major Freight / Uber wide initiatives: financial reporting, privacy, compliance, international expansion, resource planning and optimization.
  • Work closely with Uber's Data Infrastructure team to help evolve the platform with Freight specific needs.

 

What You’ll Need
  • Minimum 5 years industry experience in data analytics
  • At least 3 years in driving data modeling as a data architect or another capacity
  • At least 5 years of experience in people management (7-10 direct reports)
  • Bachelors or higher in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field preferred (advanced degrees are a plus)
  • Advanced SQL expertise; experience in a scripting language for analysis (R, Python, etc) is a plus!
  • Willingness to get your hands dirty with messy data to identify product opportunities and uncover interesting product insights
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
  • Ability to communicate effectively and manage relationships with stakeholders coming from both technical and non-technical backgrounds
  • Passionate and attentive self-starters, great communicators, amazing follow-through - you have a great work ethic and love the responsibilities from being personally empowered
About the Team
  • Architect Uber Freight’s canonical data, which will be central to all decision making processes across systems and operations.
  • Partner with Uber Data engineering team and evolve data platform tech to empower Freight eng teams to self serve their own data needs.
  • Build centralized machine learning feature store for all data science models in Uber Freight
  • Drive data efforts related to major Freight / Uber wide initiatives: IPO readiness, privacy, compliance, international expansion, resource planning and optimization.
  • Work closely with Uber's Data Infrastructure team to help evolve the platform with Freight specific needs.

 


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