ABOUT LITTLE PLACE LABS
Little Place Labs is a space technology (SpaceTech) startup with a vision of making satellites and space robots intelligent, autonomous and decentralised as we enter into the new era of commercially exploiting space derived insights and resources.
Our initial mission is to develop space-based data processing capabilities for various Earth Observation (EO) applications. We aim to make satellites smarter by enabling satellite edge computing and machine learning in orbit to generate near real-time insights for objects and events of interest on the ground such as wildfires, floods, surveillance and other finance applications.
Our rapidly growing team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth, the little place that we all call home.
As the DATA SCIENTIST on the Data Science Team and reporting to the CTO, you will work on the development of the LPL’s space data analytics product Orbitfy from scratch, explore different use cases for the technology and work closely with our partners and end users to better understand the requirement and build the product.
Little Place Lab's data science team is the heart and the brain of our product development offering space derived analytics as the source of truth for key stakeholders to make critical and timely decisions.
You will work closely with the CTO and Lead Data Scientist alongside a team of machine learning engineers, data scientists, researchers and interns to apply sophisticated modelling techniques on a modern data stack and build the future of Space edge Computing.
This is a remote position, with some travel to Europe upto twice a year.
Work on the development of the Orbitfy - LPL’s Satellite Edge Computing ML Solution
As a team work with multispectral and hyperspectral data to build ML models - using CNN from scratch as well as using pre-trained models.
Design, architect, manage, guide and work on undertaking preprocessing of data as well as building of computer vision models and machine-learning algorithms
Conduct background research on available multispectral satellite imagery.
Assess and improve the performance of ML Models
Identify valuable data sources (e.g. various satellite imagery datasets) and automate collection processes
Formulate data visualisation techniques to communicate complex topics in approachable ways
80% of time focused on LPL defined tasks + 20% time working on self exploratory projects
Design and develop ML models that run the Orbitfy application based on the given requirements.
Work with satellite imagery and develop the techniques for pre-processing raw data
Test application in house as well as on Satellite Operators platforms.
Supporting business development activities
Work Experience - Minimum 3 years
Educational - Holds an advanced degree in Data Science and/or extensive experience of working in Data Science for big or small organisations.
Technical - Solid experience of data science tools and techniques across a range of algorithms especially in Computer Vision, proficiency with Python, comfortable with AWS/Azure cloud. Understanding of working on Linux OS.
Results-orientation - resists the urge to get caught up in a great idea, emphasises testing, and aims for measured outcomes that align with business value.
Annual Salary ($30k - $50k) + Benefits
INTERESTED? GOT QUESTIONS?
Reach out to us at firstname.lastname@example.org with your CV or LinkedIn profile.
EQUAL OPPORTUNITY EMPLOYMENT INFORMATION
Individuals seeking employment at Little Place Labs are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.