Director, Shipping Analytics

Key Skills

Apache Hadoop, Data science techniques, Java Programming, Leadership Skill, Machine learning techniques, Python Programming, R Programming, SPARK Programming, SQL

Job Description

We are seeking a Director of Shipping Data Science and Analytics to lead our efforts in optimizing our shipping logistics through advanced analytics and data science techniques. The ideal candidate will have a strong background in data science, analytics and logistics and will be responsible for driving innovations in shipping to enhance efficiency, reduce costs and improve customer satisfaction.

Examples of interesting problems we are working on:

• Quantifying the trade-off between shipping speed and service cost for eBay sellers. Sometimes sellers decide to switch to a slower shipping service to reduce costs, but that also reduces buyer conversion. How should this trade-off feed into our shipping service recommendations?

• When sellers print shipping labels on eBay, they get a preferential shipping rate that eBay has negotiated with major carriers. That could reduce shipping charges paid by buyers or improve eBay’s profit margins. We look for ways to increase shipping label adoption of eBay sellers.

• Improving prediction accuracy of package weights and dimensions for shipping recommendations to sellers.

• Optimize routing for packages to our international shipping, authentication or fulfillment centers.

What You Will Accomplish:

• Lead a team of data scientists and analysts to develop predictive models and analytics solutions for eBay's domestic and cross-border shipping operations.

• Collaborate with cross-functional teams, including operations, product management, engineering, and finance, to identify, prioritize and solve shipping-related business challenges.

• Apply machine learning, simulation, optimization, A/B testing and other advanced analytical techniques to improve shipping time estimates, route optimization, and cost reduction.

• Drive the development of data-driven strategies to enhance shipping reliability and customer experience.

• Be responsible for the analysis of large, complex data sets to uncover insights and trends that inform shipping policies and initiatives.

• Communicate complex analytical results and implications to senior leadership and collaborators in a clear and actionable manner.

What You Will Bring:

• Master’s or Ph.D. in Data Science, Operations Research, Statistics, Computer Science, or a related field.

• Minimum of 10 years of experience in data science or analytics, with at least 5 years in a leadership role.

• Proven track record of maximising data science to drive significant business impact, preferably in shipping or logistics.

• Strong understanding of machine learning, predictive modeling, and optimization techniques.

• Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.

• Experience with big data technologies and tools (e.g., Hadoop, Spark, SQL) and programming languages (e.g., Python, R, Java).

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

$187,600 - $291,500

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.