Part-Time Ocean Data Scientist Contractor (Remote - U.S. Based)

Subtidal

Subtidal

Data Science
United States
Posted 6+ months ago

About Subtidal

Subtidal is developing the first scalable solution for directly measuring ocean carbon dioxide removals (CDR). The Intergovernmental Panel on Climate Change calls for removing 10 gigatons of CO2 annually by 2050. Subtidal’s Ocean Carbon Flux Grid provides scalable tools to measure carbon removals, generate reliable carbon credits, and help scale the ocean CDR industry. Join us in making a meaningful impact on climate action.

Why This Role Matters

This is a unique opportunity to work at the intersection of oceanography and big data with a climate tech company dedicated to fighting climate change. As a part-time Data Scientist, you’ll help transform real-time sensor data into 3D ocean carbon removal measurements. You’ll collaborate with a pioneering, ocean-loving, purpose-driven team, all with the flexibility of a remote schedule.

Key Responsibilities

  • Analyze and process large-scale, complex ocean sensor datasets.
  • Conduct time series and spectral analysis of real-time, continuous data.
  • Develop and refine algorithms and models used in ocean carbon flux analysis.
  • Use Python and relevant data science libraries (e.g., Pandas, NumPy, SciPy) for data analysis and visualization.
  • Develop API-based carbon flux algorithms, data transformations, and visualizations to inform Subtidal, its pilot partners, and customers about real-time carbon dioxide removals.

Qualifications

  • Master’s degree plus 3+ years of professional experience OR a PhD in data science, physical oceanography, or other relevant field, with a focus on big data, signal processing, and/or physical oceanography.
  • Experience building and deploying complex API-based algorithms and analytics solutions.
  • Proficiency in Python for data science, signal processing, and visualization, ideally with experience in Python Flask or Django.
  • Self-starter with strong time management skills and the ability to work autonomously.
  • Excellent communicator (fluent in English) with a proactive, problem-solving attitude.
  • U.S.-based with availability for 20-30 hours per week, with flexibility during critical project phases.

Great-To-Have Additional Skillsets

  • Experience working with oceanographic datasets, particularly sensor data.
  • Background in physical oceanography, carbonate chemistry, and/or ocean physics.
  • Understanding of large-scale ocean modeling and carbon cycling.
  • Experience with machine learning (e.g., PyTorch, TensorFlow).
  • Expertise in physical oceanography with a focus on sub-mesoscale dynamics.

How to Apply

Send your resume or CV and a brief cover letter outlining your relevant experience and why you're excited about this opportunity to hiring@subtidal.com.