The role is focused on collaborating with Product and Business teams and measuring holistic impact of various product & program launches on customer contact behaviour. In addition to robust statistical knowledge, collaboration and storytelling are required. It is vital to have strong intellectual curiosity, and a passion for achieving practical business impact. Skills in quantitative analysis, problem definition and recommendation development will be essential. You will have superb social skills, initiative, and integrity. Exceptional business judgment and quantitative analytic ability.

You will:

• Work with partners to find practical solutions to our business problems on data. This will require an ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising
• Set up a test (A/B test or pre-post) to measure performance in the best possible way
• Analyse large sets of data to understand the impact of product changes on the customer journey.
• Execute cohort studies and drive analyses to understand customer behaviour and find opportunities for improving our product(s)
• Transform scientific/data analysis and communicate business performance in a clear and insightful way to the business to facilitate timely and informed decision-making
• Ensure statistical rigor is applied to all analyses and business recommendations
• Develop sophisticated machine learning models and handle the building of these from development through testing and validation.
• Create processes to measure the value of modeling to the organization.

• A BS Degree in Statistics/Mathematics or quantitative field required (or experience equivalent), PhD/MS degree definite advantage
• A strong customer focus, are adept at critical thinking and can constructively challenge and question.
• 6+ years of experience as a data scientist, analyst or related field.
• Deep understanding of statistics, experimental design, and causal inference.
• Excellent SQL skills as well as significant experience with common data science and statistical toolkits such as R, Python, PySpark etc.
• Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
• Prior experience in performance measurement, creatively applying regression techniques/modelling, optimization techniques, A/B testing, etc for business applications
• The skills to translate analytical insights into clear recommendations and optimally deliver it to technical and non-technical partners
• An ability to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision.
• Excellent written, verbal, and social skills with the ability to communicate with all levels in the organization in a clear, timely and effective manner

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/