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Latch // smart lock maker
 
Engineering, Full Time    New York (Headquarters)    Posted: Thursday, February 06, 2020
 
   
 
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JOB DETAILS
 

Latch's data team is continuing to be build from the ground up. We plan to cover all aspects of the firm's data strategy: analysis, engineering, science, etc.. We are firm believers of bringing in smart people that can define the roles for themselves, so come join us & start creating greatness.

Smart access isnt about locking doors, its about opening up new possibilities. Latch is the worlds first fully integrated hardware & software system dedicated to bringing seamless access to every door in a modern building. Were looking for the curious & the creative to join our team & help us change the way we access our most valued spaces.

Responsibilities

  • Understand the data gathered across the entire Latch organization
  • Analyze the data & extract insights
  • Collaborate with other teams in the company, both engineering & business counterparts
  • Work closely with Data Analysts & Data Engineers to implement production ready systems
  • Create & train models for predictions, forecasts, classification, fuzzy matching, etc.

Requirements

  • MS in Data Science, Computer Science, Math, Statistics,or a related technical field or equivalent practical experience
  • 2+ years of data science experience
  • Good level of understanding in Python, R or Scala
  • Familiarity with SQL
  • Excellent grasp of statistics
  • Experience with notebook tools such as Jupyter, Zeppelin or Databricks
  • Excellent communication skills
  • Experience in building up a model from scratch & deploying it to production
  • Experience in visualizing the data & sharing with users

Preferred

  • Experience with Map-Reduce technologies such as Spark or Hadoop
  • Understanding of basic software engineering concepts
  • Experiencing in productionizing machine learning models
  • Acute sense of data analysis: being able to make sense out of many seemingly unrelated datasets
  • A penchant for learning technology & helping out with establishing the data infrastructure
 
 
 
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