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

The Risk Data Scientist lead will be leading a team of world-class data scientists, data analysts and data engineers in building the next generation of detection systems. You will partner with engineering, product management and Risk operations to create industry leading solutions to protect the security and integrity of the business and its eco-system. The ideal candidate has hands-on experience building machine learning models in a production environment, with a strong business sense and domain expertise in fraud and risk.

What you'll be doing:

• Provide inspirational leadership for a team of diverse data skill sets including Data Scientists, Business Analysts and Data Engineers 
• Staff, mentor, manage and retain world-class analytics and data science staff
• Work with product and engineering on data analytics and machine learning road maps
• Solve mission-critical business problems with appropriate statistical rigor
• Partner with product leaders and provide deep strategic insights
• Serve as the data point of contact for the buyer risk team
• Build out a world class anti-fraud system from the ground up for one of the largest e-commerce sites.

Qualifications

• Required: SQL, Python, Linux shell scripting
• Graduate (PhD preferred) degree in Statistics, Computer Science or equivalent experience
• 5+ years experience in Data Science, Business Analytics, Deep Learning, Statistical Research or a related field
• 2+ years of leadership and people management experience
• Hands on experience building machine learning models for anti-fraud, abuse or risk management end-to-end
• Strong SQL skills. Ability to code in Python/RExperience with
• ETL
• Experience with large scale data processing software and tools (Hadoop, Spark, or MapReduce etc)
• Strong communication and visualization skills

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Additional Information

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.