Company Description:

HawkEye 360 is a Radio Frequency (RF) data analytics company. We operate the first of its kind commercial satellite constellation to identify, process, and geolocate a broad set of RF signals. We extract value from this unique data through proprietary algorithms, fusing it with other sources to create powerful analytical products that solve hard challenges for our global customers. Our products include maritime domain awareness and spectrum mapping and monitoring designed to serve a wide range of commercial, government and international customers.

Build the world’s first RF-Derived Geospatial Analytics Firm

HawkEye 360 (HE360) is currently seeking a Senior Data Scientist to join the Engineering Analytics team. The mission of the Engineering Analytics group is to develop algorithms and software to process and fuse raw data into HE360 products. The Analytics team is comprised of a mix of Data Scientists and Software Engineers that work together to develop novel and best of breed solutions for solving the hard problems of converting raw RF and geolocation results into more advanced data products that inform and enhance customers’ mission and capabilities. The Engineering Analytics team works closely with the Product Management and Processing teams to develop scalable, secure, and flexible software architectures and capabilities. The Data Scientist will employ Machine Learning, Artificial Intelligence, and classical methods to support the research, design, and development of the company’s next-generation data analytics capabilities. The Data Scientist will report to the Director of Analytics, and interface with directors and engineers on the signal processing, space, operations, and product teams.

 We’ll Expect You To…  

• Support the design and development of geospatial algorithms and analyses to exploit and analyze HE360 collected data combined with procured third-party datasets.
• Contribute as a senior member of the Analytics team to support the research and development of wholly new HE360 analytics and improvements to existing analytic algorithms.
• Work with software engineers in the development of machine learning components to extract insights from RF-centric and third-party datasets.
• Collaborate across teams to understand requirements, use cases, and functionality and incorporate this information into the HE360 analyses.
• Evaluate and integrate open-source tools to enhance the HE360 data management, visualization, and fusion capabilities.
• Recommend improvements to existing analytic capabilities as necessary.
• Identify and define datasets for testing and validating analytical approaches and implementations.
• Adeptness at learning and applying new technologies and solving new problems.

You’ll Need to Have…

• Demonstrated experience with Python as part of a team with object-oriented concepts.
• Experience with Machine Learning and/or Deep Learning, i.e. Scikit Learn, Tensorflow, Caffe
• Experience presenting Data Science results to technical and non-technical stakeholders.
• Demonstrated experience with analytic software packages, i.e. Pandas, Apache Spark, Scikit-Learn
• 10+ years professional experience working and leading software teams.
• M.S. or B.S. in Computer Science or related engineering field.
• Excellent written and oral communication skills.

We’d Like to See…

• Experience with Maritime Domain Awareness or RF Spectrum Monitoring domains.
• Experience using and GIS software using ArcGIS or OSS tools.
• Agile Software Development Lifecycle experience.

Cultural Fit…

• Ability to work in a small and fast-paced environment.
• Ability to work well with all levels of company disciplines (i.e. Legal, HR, etc.)
• Sense of humor and ability to proactively problem solve.
• Great customer relationship skills.

HawkEye 360, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, arrest record or any other characteristic protected by applicable federal, state or local laws.