Data Scientist, Merchandising Strategy at Wish

| San Francisco
Sorry, this job was removed at 5:43 a.m. (PST) on Tuesday, July 14, 2020
Find out who's hiring in San Francisco.
See all Data + Analytics jobs in San Francisco
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Wish is a mobile e-commerce platform with global reach. Our mission is to give everyone access to the most affordable, convenient, and effective shopping mall in the world. Through the Wish platform, we are creating a relevant, entertaining, and personalized shopping experience for each individual consumer.
We are looking for a Data Scientist who will work cross-functionally with technical and non-technical teams to mine internal and external semi-structured data to understand consumer demand in individual markets, drive sales through feed optimization, influence supply, design and deploy long-term merchandising strategies.
The ideal candidate should be passionate about Wish and e-commerce, be able to conduct market research independently, has a strong analytical and consultative mindset, deep understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling data-driven regional merchandising strategies.
#LI-BD1

What you will do:

  • Conduct quantitative market research for each market, by analyzing external e-commerce web data, understand regional consumer demand, through various text and image mining techniques
  • Analyze internal behavior tracking data and forecast Wish users’ demand
  • Identify high potential but underexposed product candidates, propose strategies to increase their exposure and boost sales
  • Implement the strategies and set up A/B test experiments to gauge the impact, and reiterate
  • Establish scalable, efficient, and automated processes for data-driven regional merchandising strategies

Who you are:

  • Bachelor's or advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Economics or similar)
  • 3+ years of hands-on experience in predictive modeling and analysis
  • 2+ years Python, R, or Matlab experience
  • 2+ years work experience including business analytics and project management
  • 2+ years experience writing complex SQL queries in a business environment
  • 2+ years experience with Tableau, OBIEE or other visualization tools
  • 2+ years experience operating in a Unix/Linux environment

Nice to have:

  • Experience in e-commerce companies working on mining product listing data
  • Text mining and image mining experience
  • Feed ranking experience
  • A/B test experience
  • Analytical mindset and ability to see the big picture and influence others
  • Detail-oriented and must have an aptitude for solving unstructured problems
  • Ability to work effectively in a multi-task, high volume environment
  • Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

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.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.

Read Full Job Description
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
    • GolangLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • PythonLanguages
    • SqlLanguages
    • SwiftLanguages
    • ReactLibraries
    • ReduxLibraries
    • HadoopFrameworks
    • HiveDatabases
    • MongoDBDatabases
    • RedisDatabases

Location

Our San Francisco office is located in the Citigroup Center with direct access to BART and surrounded by amazing restaurants and coffee shops.

An Insider's view of Wish

How do you collaborate with other teams in the company?

As a designer at Wish, we primarily work cross-functionally with product managers and engineers to deliver creative solutions. However, it’s also important to include other teams to get better feedback and perspective. For example, I work with our customer support teams to gather user feedback and apply that directly to my design solutions.

Lorna

Product Design Lead

How has your career grown since starting at the company?

My goal coming out of university was to learn how to scale the infrastructure of a growing company. Larger tech companies have mostly solved these scalability problems and Wish gave me the opportunity to solve tough problems hands on. Wish is now handling 100x the traffic since I joined and I'm still learning new things everyday.

Vitaliy

Manager, Software Engineering

What are Wish Perks + Benefits

Culture
Friends outside of work
Eat lunch together
Open door policy
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Wish covers 100% of medical, dental & vision monthly premium costs for employees and their dependents.
Life Insurance
Pet Insurance
Wellness Programs
Wish offers a fitness allowance.
Retirement & Stock Options Benefits
401(K)
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Our game room includes Ping Pong, Pool Table, Shuffle Board.
Stocked Kitchen
Fitness Subsidies
Wish offers a fitness allowance.
Professional Development Benefits
Job Training & Conferences
Wish offers "Wish for Leaders" management training program as well as other Learning & Development workshops.
Promote from within
Mentorship program
Continuing Education stipend
Wish offers up to $500 per year for job related professional development activities.
More Jobs at Wish66 open jobs
All Jobs
Finance
Data + Analytics
Design + UX
Dev + Engineer
Internships
Marketing
Operations
Product
Content
Design + UX
new
Data + Analytics
new
Data + Analytics
new
Marketing
new
Design + UX
new
Design + UX
new
Design + UX
new
Design + UX
new
Content
new
Data + Analytics
new
Data + Analytics
new
Data + Analytics
new
Data + Analytics
new
Developer
new
Data + Analytics
new
Design + UX
new