Company Description
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 160 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.
Job Description
At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators. Our mission is to derive wisdom from data via the application of Data Science.
Wish has exciting opportunities for talented Data Scientists on our Buyer Side (Product) data science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU. Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale.
What you'll be doing:
- Proactively develop insights and ML models to help us drive marketplace supply quality, diversity and merchant services.
- Improve our Wish Standards algorithm design to drive better merchant quality.
- Build the listing quality models to determine the content (title, description, image, video) policy and improve buyer experience.
- Lead the design, analysis, and interpretation of experiments that shape decision-making across the company.
- Translate the business problems as DS/ML problems and apply those in a large scale production environment.
- Become the supply data science tech lead to generate knowledge sharing, trainings and consultations for stakeholders, and model documentation.
- Mentor junior data scientists on how to use more advanced methods and solve business problems.
Qualifications
- Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Operations Research, Mathematics, etc.) with 3+ years of relevant work experience.
- Working knowledge in one or more areas among: Machine Learning – Classical methods / Deep Learning / Reinforcement Learning, Causal Inference, Statistics, Optimization, Scraping at scale.
- Expertise in Python, SQL, Airflow, Tableau, and strong coding experience and knowledge to make algorithms scale.
- Experience with leading data science projects from conception to production.
- Strong business acumen and able to communicate analysis with clarity and precision.
- Experience in driving marketplace supply insights and growth a plus.
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.