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Job Location: San Francisco, CA
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 100 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We’re fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Wish is looking for experienced Data Scientists to support our Trust & Safety Data Science team in San Francisco. The role entails driving insights and enabling senior leadership to make effective, analytically driven decisions, in particular in the areas of risk and financial efficiency. The ideal candidate should be passionate about Wish and e-commerce, have a strong analytical and consultative mindset, a deep understanding of databases and data visualization, the ability to thrive in a dynamic, fast-paced environment, and a passion for scaling operations through automation.
What you’ll be doing:
- Independently and proactively find new trends in marketplace fraud or bad content, backtest rules to fight it, deploy and monitor those rules.
- Create and track metrics that will help us understand how much fraud or bad content is on Wish’s site, how it is getting there when there are increases, and what is driving them.
- Use metrics and analyses to influence roadmaps with data-driven strategies.
- Analyze machine learning scores to help DS understand ML model weaknesses, examine if model actioning thresholds are optimal, and run experiments to test better thresholds.
- Review for daily anomalies after we stand up our anomaly detection system.
- Conceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.
- Work effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights, and acting as a liaison between engineers and business partners.
- Bachelor’s degree in an analytical, mathematical or financial field or similar
- 2+ years of work experience in doing finance/business/risk data science
- Excellence in SQL, deep experience and strengths to develop complex queries
- Development experience in at least one scripting language (Python preferred)
- Strong analytical and problem-solving skills; ability to transform data into business insights and actionable recommendations
- Experience working with large data sets that are structured and partially structured
- Working knowledge of data visualization tools (Looker, Tableau etc., Tableau preferred)
Preferred Qualifications
- Masters in computer science, data science, statistics, mathematics or a related quantitative field.
- Previous experience in fraud detection, payments and/or e-commerce strongly preferred
- Communication: you enjoy managing stakeholders, complex multi-team projects management, taking end-to-end responsibility and ownership over a project.
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don’t meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
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