Sofar is on a mission to connect humanity to our world’s oceans. We collect data from a global network of distributed sensors to create the best marine weather forecasts. With more ocean data we help maritime customers to save fuel and reduce emissions. Our hardware and software platforms give researchers vital tools to understand the impact of climate change on commercial fisheries and coral reefs. Our goal is to provide critical ocean data and insights to anyone who lives near, or makes a living on the two-thirds of our planet that is covered by water.
You are a diligent and organized person who is passionate about the ocean, and excited at the prospect of joining a small fast-moving team in this domain. You’re generally comfortable with technology and computer systems–maybe you’re a spreadsheet wizard, are familiar with no-code tools like retool, zapier, grafana or airtable, and maybe even have a little coding experience. Most importantly–you’re highly organized, have an excellent ability to focus, and exhibit careful attention to detail.
You will be working with Sofar’s ocean data science team performing a number of mission-critical operational tasks. Examples include: quality assurance checks of physical sensor data, critical operational tasks for data and service products, helping the data science team wrangle new data sources for analysis, and helping to manage our growing global fleet of sensors.
- Bachelor’s degree in Engineering, Environmental Sciences, Mathematics, or other quantitative discipline
- Comfortable working with data and computer systems
- Excellent communication skills
- A passion for and/or connection to the oceans
- Exposure to Python programming
- Data visualization skills
- Skills in statistics, mathematics, or other data analysis
If this job aligns with your passion and experience, we would love to hear from you!
Email your resume and a short cover letter explaining why you’re excited about the open position to email@example.com and we will get back to you ASAP.
It is the responsibility of every employee to contribute to a positive work environment through cooperative and professional interactions with co-workers, customers, and vendors.
All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.