DATA Scientist; Satellite Software Systems) Engineering

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Join Our Mission to Revolutionize Space Logistics!

Explore the solar system, collect and store the fluid, and sustain life in space.

At Space Ocean we're a cutting-edge space startup on a mission to push the boundaries of exploration and innovation to supply resources for humanity's expansion into space, targeting near-Earth orbit by 2027 and beyond, including Mars.

Compensation: Restricted Share Units (RSUs):
There's no cash salary. Compensation is in the form of restricted share units. RSUs vest over time, aligning your interests with the company's future.

Remote

• We are seeking a Data Scientist to support the development of advanced data analytics for a satellite system designed for space-based water transportation. The ideal candidate will leverage statistical modeling, machine learning, and big data techniques to analyze satellite telemetry, optimize mission performance, and enhance system reliability. This role requires expertise in data engineering, predictive analytics, and real-time data processing in aerospace applications.

Data Analysis & Modeling:

• Analyze large-scale satellite telemetry, sensor data, and system logs to extract insights and improve operational efficiency.
• Integrate visual feeds for analysis and sent to ground station.
• Develop predictive models for fault detection, anomaly detection, and failure prediction.
• Apply machine learning and statistical techniques to optimize satellite navigation, power consumption, and communication efficiency.
• Design and implement data pipelines for ingesting, cleaning, and processing real-time and historical satellite data.
• Software Development & Deployment

Reliability & Security Considerations:

• Ensure data integrity, encryption, and cybersecurity for sensitive space mission data.
• Assist in designing fault-tolerant data storage and backup strategies for onboard and ground-based systems.

• Education:
  
  BS or MS in Data Science, Computer Science, Aerospace Engineering, Electrical Engineering, or a related field.
• Experience:
  
  3+ years of experience in data science, analytics, or machine learning, preferably in aerospace, robotics, or industrial IoT.
• Programming
  
  Skills:
  
  Proficiency in Python (Num Py, Pandas, Sci Py, Tensor Flow, PyTorch), R, or Julia.
• Big Data & Databases:
  
  Experience with SQL, No
  
  SQL, Apache Spark, Kafka, or time-series databases (InfluxDB, Prometheus, etc.).

• Experience working with remote sensing data, Earth observation, or satellite imagery.
• Understanding of orbital mechanics, space mission design, and satellite communications.
• Knowledge of fault-tolerant distributed systems and edge computing architectures for space applications.

• Equity stake in a high-growth startup.
• Remote-friendly with flexible hours.
• Cutting-edge tech: Work with advanced tools and platforms.
• Impact: Directly contribute to missions that redefine space sustainability.

ITAR Requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Ready to shape the future of space?

Join a Mission That Extends Beyond Earth.

Compensation: Restricted Share Units (RSUs):
There's no cash salary. Compensation is in the form of restricted share units. RSUs vest over time, aligning your interests with the company's future.

Additional Information: Candidates must be willing to undergo a background check and comply with US space regulations and…