Senior Data Scientist
October 30
Description
• We are looking for a data scientist to build and deploy models that help drive the sales of sports apparel for your favorite teams. • This position is on the commerce customer marketing science group--they create the machine learning models to help get customers to the products they want. • An example project is taking tens of millions of customers and predicting their team preferences using past behavior and sports seasonality. • Another example is model which customers are likely to make a repeat purchase. • This is a high impact role within the company due to the vast amount of marketing spend in the organization. • Train machine learning models for customer marketing purposes (CRM, ad bidding, etc) • Deploy models into production to run at scale • Use exploratory analysis to understand how business problems can be modeled • Communicate with the marketing org to align business goals with science techniques and report results outwards
Requirements
• At least 3 years of experience in a role involving data (data scientist, machine learning engineer, data analyst, data engineer, etc.) • The ability to write code in Python, R, or other data science languages • An understanding of marketing science use cases (customer segmentation, lifetime value models, etc.) • Experience with data science modeling techniques such as XGBoost, regressions, hyper-parameter tuning, and feature selection • At least one past instance of having a model run continuously in production (like as an API or an automated batch process) • A history of past positions where complex business goals were converted into data science problems • Experience with using large and complex datasets spanning many tables • Experience with running data science tasks in managed cloud environments (AWS, GCP, Azure)
Benefits
• Eligible for the Fanatics Commerce annual bonus program • Equity award
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