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TITLE

 

Data Scientist - Global Forecasting and Planning, AdTech

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

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

We’re looking for an experienced data scientist on our Marketing Data Science team to help optimize investment decisions for Uber’s multi-million dollar marketing budget using cutting edge statistical and time-series models. You will be responsible for developing actionable analytical solutions and productionizing models in a scalable manner to inform decisions across Uber’s global marketing efforts, accelerating both demand and supply growth within Uber’s 600+ cities worldwide! The right person for this role has a passion for driving impact by leveraging predictive modeling,machine learning, time-series modeling and experimentation to power decisions across our marketing organization.

What you’ll do

  • Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques.
  • Leverage models to address key growth challenges such as cross-channel spend allocation, multi-touch attribution and forecasting
  • Work with cross-functional teams to implement and deploy models and enhance analytical solutions by providing data-driven recommendations.
  • Leverage large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more.
  • Collaborate with marketing and finance leadership, product and engineering teams. Participate in project planning/prioritization meetings, stakeholder meeting, data prioritization meeting, etc.
  • Translate data-driven learnings into actionable insights.

What you’ll need

  • 1-3 years of experience as a data scientist at a company with global operations
  • Expertise with R and Python
  • Experience with machine learning techniques and advanced analytics (e.g. time series, econometrics, mathematical optimization).
  • Prior knowledge of Bayesian statistical modeling highly preferred
  • Advanced SQL skills - comfortable working with very large data sets.
  • Experience with big data using technologies like Hadoop, Hive, and Spark a plus.
  • Previous experience in marketing tech is a plus
  • Great communication skills, organized, able to multitask and be a team player
  • Balance attention to detail with swift execution
  • Hunger and drive to learn complex topics
  • Enthusiasm about Uber!

Apply for the job

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