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Data Scientist

Data Scientist

CompanyFoursquare
LocationSeattle, WA, USA
Salary$135000 – $180000
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelMid Level

Requirements

  • 3+ years work experience as a data scientist or in analytics, working with big datasets
  • Extensive experience in the following fields (any): data science, modeling, machine learning, deep learning, (big) data analytics, data normalization, geospatial data science, causal inference
  • Expertise in SQL and Python/Pyspark
  • An excellent understanding of data science and machine learning concepts, with hands-on experience with a broad range of research & analytics tools, including emerging tools and methods.
  • Experience with embedding models and/or ranking models is considered a plus
  • Familiarity with working with location data and an ability to clearly understand complex underlying data assets
  • Ability to distill complex data science concepts and methodology, and articulate insights to cross-functional teams and clients with varying levels of knowledge in this space
  • A solid understanding of data structures and algorithms is nice to have
  • Must be a self-motivated team player and comfortable working in a small, fast paced, exciting environment
  • Ability to think strategically and tie research work to business strategy
  • MS or PhD in Data Science, Statistics, Mathematics or Engineering or a BS with extensive experience in the field

Responsibilities

  • Help with all aspects of strategic insight development, leveraging our unique foot traffic panel and location technology
  • Work closely with the engineering, product and the sales organizations to optimize the company’s B2B products
  • Develop compelling and innovative applications of our data
  • Build out methods for improving our algorithms and product quality

Preferred Qualifications

  • Industry experience in predictive modeling, data science and strategic analytics with large datasets is preferred
  • Experience with embedding models and/or ranking models is considered a plus