Head of Applied Science and Data

Uber Freight•Chicago, IL

1d•Hybrid

About The Position

As Head of Applied Science & Data, you will lead the entire team responsible for developing advanced machine learning, statistical, economic, and optimization approaches, and for finding science-based solutions to improve performance and shape the direction of applied science. You’ll get to use your modeling skills, ability to solve open and challenging business problems, and you will work closely with Product, Ops, Engineering to take our core product experience and topline business metrics to the next level.

Requirements

Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or related field
10 years of related experience
Minimal travel required for this role

Nice To Haves

Knowledge of experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Ability to use a language like Python or R to work efficiently at scale with large data sets
Proficiency in languages and tools like SQL, Hive, and Spark
7 years of management experience

Responsibilities

Provide leadership and mentoring to a team of applied scientist
Lead a team that develops creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production
Drive clarity and solve ambiguous, challenging business problems using data-driven approaches
Propose and guide the framework of data analysis to drive business insight and facilitate decisions.
Establish standard methodologies for data science including modeling, coding, analytics, and experimentation
Leverage data to understand product performance and to identify improvement opportunities
Design product experiments and interpret the results to draw detailed and impactful conclusions
Communicate with senior management and multi-functional teams
Provide leadership to assist quick product ideation and feature launch decisions
Build intelligent data-driven products to provide the best user experience