Data Scientist

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

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:

• Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive financial business decisions.
• 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 being liaison between engineers and business partners.
• Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports.
• Investigate monetary impact on new programs and assist with ad-hoc requests.
• Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.
• Design, development and evaluation of highly innovative models
• Troubleshoot, maintain and update legacy data pipelines across MongoDB, Tahoe and Redshift
• Investigate discrepancies across various data flows and reconcile the differences

Qualifications

• Bachelor's or Master’s degree in an analytical field or similar.
• 3 years of work experience in doing experimentation and machine learning.
• Proficiency in SQL or other query languages, deep experience and strengths to develop complex queries.
• Development experience in at least one scripting language (Python, PHP etc.).
• 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 and engineering tools (Superset, Tableau, Airflow etc.).

The estimated base salary range for this position varies by the candidate's location as follows:

• Candidates located in California: $161,500 - $219,000 annually
• Candidates located in New York and Washington: $182,500 – $219,000 annually
• Candidates located in Colorado: $141,000 - $169,000 annually
• For states not listed, the estimated base salary range for this position starts around $155,000 annually

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.

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.