Data Scientist / Senior Data Scientist

Requisition Number: 
Date Posted: 
June 11, 2020
Position Summary: 

NextNav is launching a groundbreaking location service for smartphones, IOT, and other devices – an ability to determine floor level altitude service across the country – a capability that does not exist at scale anywhere today!  No longer constrained by legacy “flat earth” technologies, applications and users will be able to determine floor-level altitude, which is essential for navigation, user context and relevancy and many other applications that are used indoors.  

This position will consist of building tools to aid with alerting of our system, developing real-time metrics of our end-to-end network performance, and calibration quality at all levels. The position will also develop models to aid in our end-to-end system, including calibration and forecasting, as well as applying machine learning and deep learning algorithms.

Essential Functions: 

· Develop algorithms to further improve the accuracy of NextNav's Z-axis solution.

· Efficiently clean, prune, fix, prepare, process and analyze network and field data.

· Create and develop machine learning algorithms to help aid in positioning and calibration of devices and network.

· Develop strong domain expertise with atmospheric science.

· Interpret data and guide company to maximal benefit.

Education, Experience, Skills and Attributes: 


· Bachelor's degree with 2-3 years’ experience, or Master's/PhD in engineering disciplines such as mechanical engineering, electrical engineering, or sciences such as mathematics, statistics, computer science, physics, or another closely related field, with research emphasis on data modelling and analysis.

· Solid foundation in statistics and data processing, including data reduction, regression, automation and visualization.

· Strong scientific coding skills, including proficiency in one or more of the following: Python, R, MatLab, SQL, etc. Expertise with object-oriented languages such as Java or C++ a bonus.

· Familiarity with machine learning and deep learning framework applied to real world problems.

· Ability to work independently and collaboratively across multiple departments, including hardware and software.

· Strong written and oral communication skills, with the ability to communicate clearly and effectively across teams.



· Experience in performing analysis of large data sets by exploiting parallel computing infrastructure.

  • 1-2 years’ experience with machine learning and deep learning framework, including scikit-learn, Tensor Flow, or PyTorch.

· Experience in providing data support for internal and external engagements for trials and demos.

· Demonstrated experience as a problem solver and a data analyst of a variety of gridded and point weather data.

· Experience with driving projects across all stages, including ideation, testing, and marketing.

· Track record of source code contribution to open source projects.


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