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Data Scientist, Quantitative Research

Wish

Data Scientist, Quantitative Research

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    The Buyer Risk team at Wish has an opportunity for experienced Data Scientists in Quantitative Research in San Francisco. The role entails driving analytics insights and enabling senior leadership to make effective, analytically driven decisions, in particular areas of fraud  risk and financial efficiency. The ideal candidate should be passionate about Wish and e-commerce, has a strong analytical and consultative mindset, deep understanding of databases and data visualization, the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling operations through automation. WHAT YOU'LL BE DOING:

    • Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive tactical and strategical business decisions.
    • Proactively watch for signs of trouble, articulate with data, and make hot fixes before long term solutions can be delivered
    • Conceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.
    • Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports. 
    • Streamline and automate dashboards / reporting / pipelines
    • Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.
    • Conduct deep dive for root cause analysis and causal inference
    • Own foundation work that enables others and other teams
    • Own the end to end data -> insights -> actions -> feedback closed loop
    • 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.
    • Own backtesting and experiments for fraud rules and models

    #LI-REMOTE #LI-WISHXDS

  • Qualifications

    Qualifications

    • Master’s degree in Statistics, or a quantitative field. PhD preferred.
    • 1+ years of work experience in finance/business/risk data analysis.
    • Proficiency in SQL or other query languages, deep experience and strengths to develop complex queries.
    • Development experience in at least one scripting language (R, Python, PHP, Perl, 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.

    PREFERRED QUALIFICATIONS: 

    • 1+ years of work experience in machine learning 
    • 1+ years years with big data systems, such as Spark, Hadoop

     

    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.

  • Industry
    Transportation / Trucking / Railroad