• Job Duties: Create data-driven, strategic business insights by mining the largest datasets in the world of e-commerce and using analytics and data science techniques that drive transformative changes to the customer experience
• Drive initiative success by developing product health metrics, running A/B tests to enhance features, building monitoring tools for product health, and creating custom analytics for insights to improve features
• Design and implement advanced statistical models and machine learning algorithms
• Partner closely with the product, business, and engineering teams, and find opportunities that are accretive to the product roadmaps
• Improve and build technical skills to turn big data into Teradata and Hadoop into actionable insights and evaluate how insights impact eBay's ecosystem

Partial telecommuting is permitted from within a commutable distance

• Experience extracting, cleaning, and manipulating large scale dataset using SQL (2 years)
• Experience building and developing advanced data science solutions using Python (2 years)
• Experience visualizing insights and analytical results in intuitive manner using Tableau (2 years)
• Experience with product feature optimization using A/B Testing at scale (2 years)
• Experience with basic customer segmentation methodology for a large organization using statistical modeling (2 years)
• Experience with basic text mining skills for large scale unstructured data set using statistical modeling (2 years)
• Experience with basic story telling and analytical report to influence stakeholders using Microsoft PowerPoint (2 years)
• Experience designing and deploying recommendation engines for an ecommerce platform or equivalent using machine learning algorithms (2 year)

Must be legally authorized to work in the U.S. without sponsorship

Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Information Science, Statistics, or a closely related field plus two years of experience in the job offered or a related occupation with proven track of record in delivering actionable insights Employer will accept a Bachelor's degree, or foreign equivalent, in Data Science, Information Science, Statistics, or a closely related field plus five years of progressively responsible experience in the job offered or a related occupation

• Salary: $174,304.00-221,100.00 per annum
• 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m
• 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) 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