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Geospatial Data Scientist, Advanced Development & Planning, Mnt View (1267724)
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Requirements:**Managers are seeking local candidates. They prefer for this candidate to work onsite in the Mountainview CA **


  • Master's Degree in Computer Science/Electrical Engineering, Math, or related field.

  • Master’s with at least 1-2 years of experience; Strong software engineering practices in Python with machine learning experience in a production setting.

  • In-depth technical knowledge and skills including geo-database design and spatial relationships.

  • Thorough understanding of (geo-)statistics and data extraction and analysis

  • Strong Machine Learning and/or statistics background

  • Experience using Python or R in a production context.

  • Experience using PySpark and Pandas

  • Experience collaborating on projects using a distributed version control system such as Git or Mercurial.

  • Experience developing performant, interactive visualizations of large-scale geospatial data.

  • AWS and Databricks experience

  • Familiar with containers

  • Excellent oral and written communication skills, skilled in communicating technical topics to non-technical audiences.

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As a Geospatial Data Scientist, you will be the go-to person for geospatial data analysis. you will play a crucial role in supporting our data-driven decision-making processes. Your main responsibilities will include collecting, analyzing, and interpreting large complex geo-datasets, developing predictive models and algorithms, and presenting insights to key stakeholders.  Responsibilities and required qualifications are as follows:

  • Collect and pre-preprocess geospatial data to prepare for analysis.
  • Lead the application of advanced analytical methods, including machine learning and statistical techniques, to develop consumer-centric insights.
  • Explore and evaluate different data storage and management techniques specifically designed for geospatial data for efficient access.
  • Create a data workflow from data acquisition to trends and insights generation.
  • Produce high quality tested code that enables large scale research and can be transferred to physical vehicles or to the cloud infrastructure deployed in the real world.
  • Stay up to date on the state-of-the-art in machine learning and data analysis ideas and software, in collaboration with our Researchers.
  • Coding, proof-of-concept (POC) and demo applications using our platforms.
  • Work in a multidisciplinary team and collaborate with other teams across the research lab.

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