Head of Applied Science and Data

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. 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 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 Benefits • Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. • US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role. Apply tot his job Apply To this Job