Ebay Director Data Science Motors/Refurb 

United States, California, San Jose 

230247833

Responsibilities:

• Scale the capabilities of the Data Science team to drive better business decisions for the Motors and Hard Goods (Refurb, Home & Garden) business, product and cross-functional initiatives.

• Develop globally consistent analytical frameworks and metrics to better understand the customer and business impact of our product teams so that eBay can optimize investments and drive growth.

• Manage product analytics team, perform discovery analytics and drive best practices in experimentation.

• Apply data and behavioral science to solve customer problems.

• Develop outstanding automated self-serve dashboard solutions.

• Provide technical expertise in developing methods for measuring business performance and research the use of sophisticated mathematical, statistical, and experimental tools & techniques

• Articulate requirements and coordinate with data infrastructure teams to increase availability of new internal and external tools and datasets in to unlock new insights.

• Support training, development, recruiting, and inspiration in the decision science team.

• Communicate, present and consult regularly to eBay’s executives & leadership team.

Job requirements:

• Confirmed analytics and data science leader that has built impactful analytical capabilities within a large global company

• 12+ years of experience analyzing large, sophisticated, multifaceted data sets in relational databases and non-relational databases using querying languages and analytics automation tools.

• Strong technical and quantitative background with master’s degree or equivalent experience in computer science, Math, Physics, or Engineering.

• Ability to collaborate with key partners in a highly matrixed environment including regional business teams, product, technology, and finance in order to plan and implement eBay’s analytics roadmap.

• Highly analytical, strategic, and diligent, with a dedication to excellence and a passion for understanding the business implications of analyses.

• Ability to influence and drive execution across organizational lines.

• Experience with data and analytical tools including R and Python.

• Knowledge of statistics (e.g., multivariate statistics, predictive modeling, controlled test design).

• Excellent management, recruiting, mentor, team-building, and organizational skills.

• Ability to identify and take on critical projects, as well as lead multiple projects simultaneously in a dynamic, changing environment.

• Willing to take calculated risks and make decisions with imperfect information.

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

$180,800 - $279,400

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