Data Science, Payments Product Analytics

Key Skills

Java Programming, Python Programming, SQL, DXP solutions, Data science techniques, A/B Testing, Data Analytics, R Programming, Large data sets, VR/AR frameworks

Job Description

The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments, Billing & Risks on platform. Identifying the opportunity areas and helping build scalable solutions to drive great user experience. Analytics is critical for a data driven payments function.

Core analytics capabilities include the ability to instrument critical metrics, identify the landscape of the entire function, figure out opportunities for improvement, work with Product to craft scalable solutions, and monitor their performance. We build this behavioral intelligence by exploring creative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver exceptional results.

We are multi-disciplinary with a broad spectrum of industry experiences and deep analytical and quantitative expertise.

We are currently seeking a high energy, driven, collaborative team member that brings extensive problem-solving skills to further the goal of applying ground breaking risk analytics, insights and visualization to drive the payments roadmap.

The role is data and analytically intensive. Successful candidates should be quick learners, strategic problem solvers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.

Primary Responsibilities:

• Collaborate with business partners to answer key business questions – challenge their thinking and become a trusted business partner. Help the business prioritize analytical deliverables and manage their expectations.
• Perform exploratory analysis of large data sets.
• Derive tactical and strategic insights to improve business strategies and accelerate channel growth.
• Champion and evolve the experimentation approach for all the new payment product launches.
• Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and providing structured, hypothesis-driven and data-supported practical solutions.
• Have strong empirical and analytical background, with demonstrated ability to combine quantitative and qualitative findings in order to frame the right questions and measurable insights.
• Be a lateral problem solver, who constructively challenges the obvious answer in order to examine the underlying mechanism or phenomenon.
• Be comfortable in developing analytics vision and roadmap for the team, and foster innovation through continuous evolution of analytical frameworks and data solutions.

Skill-set Requirements:

• Bachelor’s degree in Math, Statistics, Engineering, or other quantitative discipline.
• 5+ years of experience in data analytics, data science or related field with a Bachelors degree Or 3+ years of experience with a Master’s degree.
• Strong technical skills in SQL and R/Python.
• Hypothesis testing and experience with experimentation (A/B testing)
• Strong applied statistical knowledge.
• Good experience with both descriptive and inferential statistics – ability to build basic prototype models.
• In addition to delivering insights on existing Product & Tech initiatives, you will come up with innovative product growth opportunities based on insights, and create momentum through influence.
• Proactive collaboration and effective communication are critical.

Additionally, the following background and experience is preferred:

• Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
• Ability to present complex analyses and insights effectively in simple terms.
• Background in ecommerce product experience and payments domain is a plus.

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/

eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at We will make every effort to respond to your request for disability assistance as soon as possible. Jobs posted with location as Remote - United States (Excludes CO, HI, NM) excludes Colorado, Hawaii and New Mexico.