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Data Scientist and Data Analyst - Communications Platform - Uber

Uber


Location:
San Francisco, California
Date:
05/25/2017
2017-05-252017-07-24
Categories:
  • Data Analytics
  • Data Scientist
  • Business Intelligence
Uber
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Job Details

About Uber

Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use everyday. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of the fabric of daily life.

We're making cities safer, smarter, and more connected. And we're doing it at a global scale-energizing local economies and bringing opportunity to millions of people around the world.

Uber's positive impact is tangible in the communities we operate in, and that drives us to keep moving forward.

Communications are a cornerstone to an incredible transportation experience. Whether it’s SMSing your Uber partner at the airport, exchanging chats with an Uber customer service rep, or perusing the latest UberEATS menu in your inbox, Uber is in constant communication with its riders and partners. The Communications platform builds the tools and technology that power conversation, and we are looking for a world-class data scientist and data analyst to join our team.

 

What You’ll Be Doing

  • Work on a cross-functional team including Data Scientists, Data Analysts, Product Managers, Engineers, and marketing leads across the globe.
  • Build scalable tools to measure the communication experience.
  • Develop algorithms and experiments to optimize customer satisfaction and engagement.
  • Create and maintain data pipelines, dashboards, and data models around our communications ecosystem. Identify and own data latency and data quality issues.
  • Build reports and reporting tools that marketing and product teams across the globe use to help them make key decisions every day.
  • Pull data and conduct product analysis to discover and suggest new product functionality and optimize existing services and systems.
  • Prototyping new features and building new ideas by writing code in Python or R.
  • Implement new approaches in collaboration with software engineers in production (Go, Java, or Python).

Requirements

Here Are The Kinds Of Skills We're Looking For

  • A graduate degree or equivalent in applied statistics, computer science or a quantitative domain.
  • 3+ years working experience delivering, scaling, and owning highly successful and innovative analytics and data science products.
  • Experience with data science technologies like Hadoop, Hive, Spark, and SQL (Postgres, HiveQL, Vertica SQL)
  • Experience with a variety of relevant data manipulation languages (Python, R, Go).
  • Great communication skills.
  • The ability to create structure from ambiguity. The opportunity for Uber in the communications space is massive but nascent - we are looking for somebody interested in building a new foundation and scaling from there.

     

Here Are The Kinds Of Skills We're Looking For

Data Science

  • Demonstrable domain expertise in communications, product metric identification, experimentation design, machine learning and execution.
  • A degree in computer science or a quantitative domain plus hands-on data science experience. Technical understanding must go from the highest abstractions down to the metal.
  • 3+ years experience delivering, scaling, and owning highly successful and innovative data science products with your fingerprints all over them - you’re extremely proud of what you’ve accomplished.
  • An ability to connect the deep domain expertise of the researcher with the pragmatism and scrappiness of the entrepreneur - you’re a true generalist.
  • A high bar across the board - from your own contributions to the people you work with to the products you work on.
  • A “driver” personality - biased toward action, great collaborator and master disambiguator / simplifier - constantly pushing toward clarity and delivery.
  • Demonstrable proficiency in producing production level code (Python, Go, Spark preferred) and programming concepts, combined with the enthusiasm and passion to build.

     

Data Analytics

  • Demonstrable domain expertise in communications, product metric identification, improving data quality, experimentation design and execution.
  • A degree in statistics or a quantitative domain plus hands-on data analytics experience. Technical understanding must go from the highest abstractions down to the metal.
  • 3+ years experience delivering, scaling, and owning highly successful and innovative data analytics products with your fingerprints all over them - you’re extremely proud of what you’ve accomplished.
  • An ability to connect the deep domain expertise of the researcher with the pragmatism and scrappiness of the entrepreneur - you’re a true generalist.
  • A high bar across the board - from your own contributions to the people you work with to the products you work on.
  • A “driver” personality - biased toward action, great collaborator and master disambiguator / simplifier - constantly pushing toward clarity and delivery.
  • Proficiency in SQL and scripting languages (e.g. R, Python).
  • Masterful visualization skills and storytelling abilities.

     

Perks

  • Employees are given Uber credits every month.
  • The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally.
  • Smart, engaged co-workers.

     

Benefits

  • 401(k) plan, gym reimbursement, nine paid company holidays.
  • Full medical/dental/vision package to fit your needs.
  • Unlimited vacation policy; take time when you need it.

     

Be sure to check out the Uber Engineering Blog to learn more about the team.

Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.