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Sr Engineer - Data Science - HERE

HERE Technologies

Berkeley, California
  • Data Engineer
  • Data Scientist
  • Data Analytics
  • Business Intelligence
HERE Technologies
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Job Details

Who we are:

HERE is a leader in mapping and location technology. We enable rich, real-time location applications and experiences forconsumers, vehicles, enterprises and cities. Our open location platform is accessible to all customers who seek to leverage the power of location in their businesses. We are backed by a consortium of leading automotive companies(Audi AG, BMW Group and Daimler AG). To learn more about HERE, including our work in connected and autonomousdriving, visit http://360.here.com

Job Description:

HERE is seeking a Senior Engineer to join our Research team. The candidate will be expected to work as a software engineer and a quantitative researcher. The ideal candidate will have a strong interest in mobility services and have a passion for finding innovative mechanisms for investigating large data sets with the goal of understanding the needs and expectations of a mobile population.

The candidate must be able to work effectively in a multidisciplinary team environment focused on innovation and be able to learn and integrate complementary technologies outside their specific area of expertise. The candidate will have exceptional communication skills for communicating their scientific approach to product managers and engineers and serve as a technical resource to others.


  • Use appropriate statistical techniques on available data to deliver insights to product teams
  • Communicate findings to product managers and engineers
  • Drive the collection of new data and the refinement of existing data sources
  • Analyze and interpret the results of product experiments 
  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams



  • M.S. or Ph.D. in a relevant technical field, or 4+ years of experience in a relevant role
  • Proven success in solving analytical problems using quantitative approaches
  • Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • A strong passion for empirical research
  • A flexible analytical approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Familiarity with relational databases and SQL
  • Experience with machine learning solutions and pattern recognition techniques 
  • Strong math background
  • Expert knowledge of an analysis tool such as R, Matlab, or SAS
  • Experience working with large data sets, experience working with distributed computing tools a big plus (Spark, MapReduce, Hadoop, Hive, etc.)
  • Proven ability to quickly prototype in languages like Python, C++, Java, and Scala
  • Ability to design efficient algorithms for accessing and analyzing large amounts of data
  • Familiar with batch processing/real time systems like Flume, Kafka, and Storm