Data Scientist

Must Haves: 5+ years of experience in a Data Scientist role eCommerce domain experience and knowledge of things like customer accounts, orders, order history, transaction types, etc. Experience with the GCP cloud platform and BigQuery Experience with Oracle database Proficiency with SQL and GoogleSQL Experienced in designing and implementing rule-based models to guide strategic business decisions Strong investigation, collaboration and communication skills Plusses: Fraud domain knowledge Day to Day: An employer in Bentonville, AR is looking for a Data Scientist with eCommerce domain knowledge to join their team. The role is focused on developing and refining rule-based models to detect, block and prevent fraudulent activity. You’ll collaborate closely with business insights and data science teams to turn data into actionable fraud prevention strategies. You will be responsible for analyzing large and complex datasets to validate hypotheses and uncover patterns indicative of fraudulent behavior. They must understand Google Cloud Product tools, be highly proficient in Microsoft tools including Excel, and have in-depth knowledge and skills to research data table sources and structure, create and validate queries, and possess knowledge of Python. This person will be expected to perform daily and weekly analytics reporting tasks, understand what can be automated and how, and provide insights from the data to support the Senior Manager in fraud model rules decision making.