Data Scientist at Spire
Spire Product Engineering develops products that provide company and government customers a uniquely precise understanding of what’s happening in the world in areas like weather, air traffic, shipping, and more. The insights are produced by combining the firehose of sensor data produced by 50+ Spire satellites with external data sources, processing the data using statistical and machine learning pipelines, and packaging the data for external consumption using our APIs.

As a data scientist, you’ll work closely with the data engineers to design and tune these pipelines to provide insights for our customers driving their decisions.

Responsibilities of your role:

Work with data engineers to develop products using statistical and machine learning
Work with product team to ideate new concepts
Identify the right approach for each specific product, including learning and statistical methods

Qualifications / Experience:

Implementation experience with statistical modelling
Ability to recognize clean and concise code. We use SQL and Python for most things currently
Implementation experience with supervised and unsupervised ML methods.

Strong candidates will also possess skills in one or more of the following areas:

Experience using one of the major Machine Learning Frameworks (Caffe, TensorFlow, Torch, etc)