Ebay Director Shipping Analytics 

United States, California, San Jose 

296492928

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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.

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• 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.

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• 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

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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