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Data Scientist
Spatial Algorithms
Updated on 9/25/2022
Seattle, WA, USA • Chicago, IL, USA • St. Louis, MO, USA
Experience Level
Desired Skills
Data Analysis
Data Structures & Algorithms
  • Ph.D. or MS +2 years of experience in Computer Science, Engineering, Math or other highly quantitative discipline with 2+ years of Python programming experience required
  • Experience designing, developing, and maintaining production-grade scientific software that runs at scale
  • Proven experience and working knowledge of applied statistics and probability
  • Experience with the methods and tools of geospatial data analysis
  • Design and develop production-quality scientific algorithms in Python to extract features from large scale sensor vector data generated from agronomic machinery
  • Develop performant spatial algorithms to validate, decorate, and elucidate our foundational data
  • Drive decision-making in your software development through continuously performing in depth validation of our algorithms that is driven by both engineering and domain requirements. Work with our team to define validation processes that are perfectly attuned to the requirements of the task at hand--an endeavor that often requires some creative thinking
  • Perform deep root cause analysis of our agronomic vector data as a part of validating our software. Understand how minute variations in the data interact with our algorithms and weigh trade- offs to fuel decision-making around developing our methods
  • Communicate technical information to peers, business partners, and strategic leaders across the company
  • Contribute to defining team roadmaps
  • Collaborate/coordinate with members of your team and outside teams with varied backgrounds to deliver our software as a part of larger highly interconnected efforts
Desired Qualifications
  • 2+ years of experience writing software to extract features from sensor data, time series data, or large-scale vector datasets
  • Familiarity with mechanics of agricultural machinery and landscape of equipment, and knowledge of agricultural practices and decision-making
  • Excellent communication skills to solicit information from domain experts, clarify requirements, and drive efforts forward
  • Comfortable working in a highly collaborative environment-communicates openly, challenges decisions using respectful communication and is comfortable being challenged by others, values constructive feedback on various aspects of work (technical, communication, project direction), proactively and continuously seeks out others' input
  • Experience turning high level needs into a concrete set of requirements, and structuring development, analysis, and validation plans to meet these requirements
  • Ability to formulate appropriate methods for an algorithm that are tailored to the requirements of the use case
The Climate Corporation
Digital agriculture company
Company mission
Climate's mission is to help the world’s farmers sustainably increase productivity with digital tools. The next breakthrough in agriculture will utilize data and analytics to optimize the many decisions farmers must make throughout the growing season and in planning their operations.
  • Health Insurance
  • 401K Plan
  • Work From Home
  • Maternity & Paternity Leave
  • Vacation & Paid Time Off
  • Paid Holidays
  • Sick Days
  • Free Lunch or Snacks
Company Values
  • Innovate in all we do.
  • Inspire one another.
  • Leave a mark on the world.
  • Find the possible in the impossible.
  • Be direct and transparent.