Data Science Intern

2 weeks ago

Toronto, Canada Wish Full time

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 60+ countries around the world discover new products. For our over 250,000 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**:
**Responsibilities**:
This role will have exposure in various parts of the business such as merchant growth, logistics, customer service, and content.
- Defining and validating metrics to evaluate business performance

**Qualifications**:

- Solid foundation in computer science, math and/or software engineering
- Strong competencies in data structures, algorithms and software design
- Interest in end-to-end feature development from design to execution
- Self-motivated, hands-on, relentlessly focused on impact, and able to operate under a great deal of independence
- Strong knowledge of statistics
- Familiar with SQL
- Clear communicator
- We work with Python, R, Hadoop (Hive), MongoDB, and Redshift

The base salary range for this position is $45-50 per hour. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.

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.

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