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Presented By: University Career Center

GEICO's Data Scientist Virtual Career Event

Are you looking for an exciting new opportunity as a Data Scientist? If so, this is the event for you! GEICO is on the cutting-edge of smart marketing, business and advertising. We have a culture of experimentation, rapid iterations and feedbacks, and lean delivery, complimentedwith strong partnership and collaboration with product, marketing, tech, and data teams. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We are looking for data scientists who have experience and a passion for innovation at theintersection of data, experimentation, and marketing.

If your specialty is one of the following:

Data Scientist (all levels)
Marketing Data Scientist
Natural Language Processing Data Scientist
Marketing Design & Optimization Data Scientist

This is the event for you! We are lookingfor people with results they are proud of, such as:

Bachelor's degreein a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.

Two plus years experience and solid understanding of machine learning techniques

Two plus years of strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc.

Marketing Data Scientist - experience designing, buildingand validating Data Science models, such as Mixed Media Modeling, multi-touch attribution, data-drive market segmentation and response model

Natural Language Processing Data Scientist - experience with NLP

Two plus years of experience in supervised and unsupervised modeling, transfer learning

Marketing Design & Optimization Data Scientist - experience building an optimization/DoE platform to manage experiments and optimize across multiple competing solutions

Two plus years with Dynamic Multivariate Search/optimization algorithms: e.g. Multiarmed bandit, reinforcement learning, evolutionary algorithms

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