Data Scientist, Business Analytics
San Francisco, CA, United States
Applications have closed
Wish
Discover affordable items for your home and life needs. Enjoy our money back guarantee, frequent discounts, flat rate shipping (select markets), and more.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 100 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
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 Supply 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:
- Drive strategic and business decisions by conducting sophisticated analysis and revealing insights with strong business acumen
- Conceptualize and build centralized data dashboards and tools (including pipelines) that can extract data/insights for daily business management in an automated manner
- Work effectively with cross-functional teams, assimilating requirements, driving results in the form of data insights and being liaison between product managers, engineers and business partners
- Investigate monetary impact on top line metrics 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 statistical modeling techniques such as time-series forecasting
- Troubleshoot, maintain and update data pipelines
- Investigate discrepancies across various data flows and reconcile the differences
Qualifications
- Bachelor's degree in Statistics, Computer Science, Economics, or equivalent experience
- 3+ years experience in Data Science, Business Analytics, Finance, Statistical Research or a related field
- 1+ year of experience in e-commerce
- 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, Perl, etc.).
- Strong business acumen, ability to understand high level business needs and guide strategic directions
- 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 tools (Superset, Tableau etc.)
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!
The base salary range for this position is [$80,500 - $115,000] 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.
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.
Tags: Business Analytics Computer Science Data pipelines Data visualization E-commerce Economics Engineering Finance Perl PHP Pipelines Privacy Python Research SQL Statistical modeling Statistics Superset Tableau
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs