Maritime Data Analyst, Sofar Ocean

• Education in data science / engineering / math or equivalent experience
• Excellent attention to detail and a commitment to data accuracy
• Passionate about the ocean and marine technology
• Excited about the prospect of joining an agile, fast-moving team
• Proficient using Python and Python-based optimization / numerics / machine learning frameworks
• Excited to use data-driven approaches to build meaningful insights from ocean data for industry and society

Desirable

• We are looking for an experienced Maritime Data Analyst to join our team to help the maritime shipping industry adapt to a rapidly changing economic, regulatory, and ocean environment
• Wayfinder, our dynamic voyage optimization platform, is a ground-up new technology that uses our proprietary data and forecasts to deliver the most efficient strategies to vessels and shoreside teams in real-time
• Data-driven, dynamic optimization unlocks unprecedented potential for efficiency and savings, and gives Owners, Operators, and Charterers unparalleled control over speed, fuel consumption, and their CII strategy
• The role presents a unique opportunity for an ambitious individual to drive the development of next-generation vessel performance models, the vessel speed and fuel consumption prediction model at the core of our maritime route optimization platform
• Analyze large datasets of vessel performance data to identify trends, patterns, and opportunities for model improvement
• Continuously monitor the performance of vessel performance models to detect anomalies, deviations, and potential issues
• Calibrate and fine-tune performance models to ensure they accurately reflect real-world vessel behavior and conditions
• Work closely with cross-functional teams, including data scientists, software engineers, and maritime experts to incorporate feedback and enhance model performance
• Maintain detailed documentation of model calibration processes, changes, and improvements
• Conduct thorough quality assurance checks on model outputs and make adjustments as needed to improve accuracy
• Support building business analytics tools and execute on custom data analysis projects