Head of Applied Science and Data Science
Uber Freight

Schedule: FT

Job Type: Hybrid/On-site

Salary Type: Salary

Req #: 1410

About the Role

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.

What the Candidate Will Do

• 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

Basic Qualifications

• 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

Preferred Qualifications

• 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 & Compensation for U.S. Employees

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.

About Uber Freight

Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With a suite of end-to-end logistics applications, managed services and an expansive carrier network, Uber Freight advances supply chains and moves the world's goods. Today, the company manages nearly $20B of freight and one of the largest networks of carriers. It is backed by best-in-class investors and provides services for 1 in 3 Fortune 500 companies, including Del Monte Foods, Nestle, Anheuser-Busch InBev, and more. For more, visit www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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