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Foursquare // location enterprise platform
 
Engineering, Full Time    New York    Posted: Thursday, April 21, 2022
 
   
 
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Foursquare is the leading independent location technology & data cloud platform, dedicated to building meaningful bridges between digital spaces & physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, & achieve better business outcomes. A pioneer of the geo-location space, Foursquares location tech stack is being utilized by the worlds largest enterprises & most recognizable brands.

Foursquares flexible building blocks include technology to maximize marketing impact & drive incremental real-world engagement (Attribution, Audience, Proximity, SDK);  data to deeply understand points of interest & real-world behavior patterns (Places & Visits), & tools to conduct advanced analysis, data enrichment, unification & visualization (Unfolded Studio).

About the role:

We are looking for a data scientist to join our Places team. The Places team is the main owner of Foursquares Places products. We combine billions of individual pieces of information into a comprehensive dataset of hundreds of millions of places around the world. From restaurants to bars, stores to parks, hotels to colleges, our database spans every type of point-of-interest across the world. The Foursquare places database is considered the largest & highest quality independent dataset in the world. In addition to powering our branded products, Places is the location layer for the internet, powering the location features of tens of thousands developers, including Apple, Microsoft, Uber & many more.

Responsibilities of the role

  • Build supervised/unsupervised machine learning models that predict Places attributes & quality
  • Build Hadoop MapReduce & Spark processing pipelines using Scala & Python, that directly enhance our Places products & client deliveries
  • Conduct ad-hoc data investigation & data-driven approaches for insights extraction
  • Write test automation, conduct code reviews, & take end-to-end ownership of deployments to production
  • Build internal tools for monitoring & investigation purposes, & to communicate updates to internal & external users

Qualifications:

  • BS/BA in a quantitative field of study (computer science, data science, applied mathematics, etc.) or equivalent experience
  • 13 years of machine learning & software development experience
  • Proficiency in Scala, Python, Java, and/or Ruby
  • Good knowledge of machine learning & data science fundamentals
  • Excellent communication skills, including the ability to identify & communicate data-driven insights

Nice to have:

  • Experience with Hadoop MapReduce and/or Spark data processing pipelines
  • Experience with Machine learning technologies, like Spark ML, scikit-learn, keras, etc.
  • Experience with Amazon Web Services, like EMR & S3

Perks & benefits:

  • Learning & development programs from individual contributors to managers
  • Individual, professional coaching for all full-time employees
  • Flexible time off - rest & recharge when you need it!
  • Comprehensive & competitive health, vision, dental, life insurance
  • 401(k) with company match
  • Home office setup: you get all necessary hardware & internet reimbursement 
  • Family planning programs via Carrot & Maven
  • Employee Resource Groups to help you stay connected

Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives & backgrounds. This leads to a more delightful experience for our users & team members. We value listening to every voice & we encourage everyone to come be a part of building a company & products we love.

Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

 
 
 
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