Data Scientist III

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. • • • • • • NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future • • • Data Scientist, Product Analytics Responsibilities: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Minimum Qualifications: Currently has or is in the process of obtaining a bachelor's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Bachelor's degree in mathematics, Statistics, a relevant technical field, or equivalent 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications: Master's or Ph.D. Degree in a quantitative field