Why This Role Stands Out
As a Data Scientist at Crown Innovations, you'll contribute to pioneering advancements in aerospace and advanced transportation, gaining experience with cutting-edge projects for NASA and the FAA. This role is ideal for a Master's degree holder with 5+ years of experience in data analysis and machine learning who is eager to drive innovation in a collaborative environment with a competitive salary of $150,000-$170,000. Apply now to shape the future of aviation!
Quick Overview
Job Description
Crown is a leader in planning and implementing aerospace and advanced transportation services, with a focus on advanced air mobility (AAM). We have more than three decades of experience in developing strategy, exploring concepts, assessing technologies, developing use cases, and projecting economic impacts for the National Aeronautics and Space Administration (NASA), Federal Aviation Administration (FAA), and State Departments of Transportation. We are looking for an exceptional new team member to join our Crown innovators working with companies and government agencies to safely advance aviation’s newest frontier. Join our team to pioneer a better, more sustainable future
Crown is looking for all levels of Data Scientists to work on the NAMS-2 project in Mountain View, CA to:
- Identify trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights.
- Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases.
- Interpret results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools.
- Designs, develops, and implements machine learning tools to organize, extract and present relevant information from a variety of real-world data sets.
- Collaborate with teams to understand each data analysis projects' underlying purpose, focus, and objectives.
Required: A Master's degree in computer science, mathematics, engineering or equivalent with 5 or more year’s relevant experience.
Desired: Experience in implementing machine learning algorithms for NASA and/or NASA-relevant problems.
Prefer candidates local to the SF Bay Area
The salary range is $150,000 - $170,000
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