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.
We are looking for a Data Scientist to join us with the goal of building and enhancing successful new initiatives at Wish. You'll apply quantitative analysis, data visualization, experiment design, and statistical learning techniques to shape the growth strategy and improve product performance. You will enjoy working with a cooperative and passionate team, and seeing your insights turned into real impacts quickly. You will have the chance to work cross-functionally with technical and non-technical teams and communicate with senior management on a regular basis. We cultivate an environment for smart, driven data scientists to thrive.
If you have a strong analytical mindset and good problem-solving skills, want to make an impact and grow your career, then this position is right for you!
What you'll be doing:
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity 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 for employment qualified applicants with arrest and conviction records.