Data Scientist, Machine Learning (Marketing) at Next Insurance in Palo Alto, CA

What You'll Do: Research and develop predictive models (we typically start with a POC and then work with Product and Engineering counterparts to transition to production) Iterate and pivot quickly to deliver MVP solutions. Design quick experiments to maximize learning Understand the data and dig deep to extract actionable insights Think creatively and outside the box to answer desired... experimental questions Work cross-functionally with marketing, engineering, product, senior management, and external partners What We Need: 3 years of hands-on experience in data mining, machine learning and/or statistical analysis BS/MS in Computer Science, Statistics, Applied Math, or related areas from a top university Experience in writing both agile exploratory analyses as well as production-level code in a fast-paced environment Ability to communicate the results of analyses clearly and effectively Fluency with Python and the standard numerical packages Fluency with data extraction/manipulation tools (preferably SQL and pandas) Unstoppable Qualities: Predictive lead scoring Automated bidding Customer segmentation in 3rd party platforms such as Adwords/Facebook/Liveramp Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications