Ocean Career: Bedrock Hydrographic Data Analyst
Listed on 2026-08-29
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IT/Tech
Data Analyst, Data Scientist, Data Engineering
Subsea Data Analyst
Our hope is to provide critical subsea data and infrastructure to further understand and predict the fundamental forces that support harmonious human existence on this planet.
About You and the RoleDoes spending your days staring at dense seafloor datasets and teasing out insights about the nature of our oceans sound like a dream come true to you? Is your favorite part of any project when the initial data comes in and you get to chat about how to improve it with an excited team? Are you a fast mover, an experimenter, a problem solver?
At Bedrock you'll be joining a team of motivated dreamers, providing expertise that helps us to make rapid improvements in our datasets, our autonomous underwater vehicle behaviors, and the insights that we deliver to customers.
- Own first pass data analysis of some/all of the following Bedrock collected datasets: multibeam echo sounder, side-scan sonar, magnetometer, sub-bottom profiler utilizing a standard software package of your choice (e.g., EIVA, Sonar Wiz, Hypack)
- Collaborate with internal teams providing expert guidance on improvements to vehicle and survey plans
- Work with product, leadership, and customers to ensure Bedrock data is the highest quality
- Experience processing at least two of the following datasets: multibeam echo sounder, side-scan sonar, magnetometer, sub-bottom profiler using a software suite such as Sonar Wiz, Eiva, Sonar Wiz, Hypack or equivalent.
- Attention to detail and organization
- Strong written and verbal communication skills
- Experience iterating on data improvements
- A sense of comfort in a fast-paced, ever-changing environment
- Excitement for learning and growth
- Some (even light) python/R/matlab/shell/sql coding experience
- Experience in visualization or maps and time series data
- Experience preparing data/reports for offshore wind
- Experience in the field (ship and/or autonomous underwater vehicle operations)
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