Job Description
Who We Are
We are a remote-first SaaS company, bringing true digital transformation to the global shipping industry. We enhance the way shipping professionals work by creating technology for the maritime industry and bringing it to market.
With over 85% of the world’s trade transported by sea, we have a huge opportunity to transform existing manual, offline, and disparate processes into a tech-enabled and data-rich experience, enabling better decision-making and fewer costly, time-consuming mistakes. Our premier platform, Sea, is the world’s first digital shipping platform that provides cloud-based applications focused on the pre-fixture and at-fixture space. These connect to create efficiencies and digitize workflows.
To understand more about us, please visithttps://www.sea.live.
The Role
We are seeking aSeniorData Scientistto enhance financial sustainability and market intelligence within the maritime industry. This new role will directly support our mission of "Powering Better Decisions to Enable Sustainable Shipping" by delivering actionable insights to charterers, owners, and brokers, enabling smarter, more profitable, and sustainable decisions.
As a key member of the Market Intelligence team, you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you will help optimize freight decisions in the pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform.
- Drive measurable customer success by embedding predictive analytics and actionable insights into SaaS workflows, enabling smarter, sustainable, and more profitable shipping decisions.
- Enhance platform value through outcome-focused data-driven solutions that optimize market responsiveness and financial outcomes.
Responsibilities
Market Research & Insights Development
- Conduct in-depth research on dry and wet shipping markets, uncovering key drivers and trends that impact trading and pricing decisions.
- Analyze indexes, forward curves, FFAs, and derivatives to generate actionable insights for platform enhancements.
- Identify opportunities to improve user profitability by embedding data insights into workflows.
- Design scalable, SaaS-ready methodologies for benchmarking, delivering real-time price indications, tracking fixture performance, and quantifying ROI to inform better decision-making.
- Implement frameworks to measure market coverage and responsiveness, ensuring the platform evolves in line with dynamic market needs.
Data Science & Predictive Analytics
- Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping decisions.
- Apply advanced statistical techniques and machine learning to extract high-quality insights from large datasets.
- Collaborate with the Data Engineering team to establish seamless, efficient data pipelines that ensure data reliability and accuracy.
- Develop outcome-focused frameworks to measure the impact of data insights, predictive models, and optimization strategies on user profitability and engagement.
Platform Integration
- Collaborate with product managers and engineers to embed market intelligence into SaaS workflows, ensuring insights are actionable, scalable, and user-friendly.
- Support the development of tools that enhance financial decision-making and profitability for maritime stakeholders.
Market Expertise & Leadership
- Leverage deep knowledge of market indices, derivatives, and supply-demand analytics to guide strategic and product decisions.
- Stay informed on evolving market conditions, competitor activities, and customer needs to maintain a competitive edge.
- Act as a thought leader and industry expert, engaging with charterers, owners, and brokers to co-create actionable market insights.
Collaboration & Innovation
- Work closely with cross-functional teams to align data-driven insights with business objectives and product strategy.
- Lead innovation by identifying emerging trends, pioneering new analytics methodologies, and shaping platform features to ensure the platform remains at the forefront of the maritime SaaS space.
Skills and experience
Education
- Master’s or Ph.D. in Data Science, Maritime Studies, Economics, Finance, or a related field.
Experience
- Experience data analysis, market research, or maritime analytics.
- Expertise in maritime trading, supply-demand analysis, FFAs, forward curves, and derivatives.
Technical Skills
- Proficiency in Python and SQL for data manipulation and model development.
- Experience in working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark)
- Familiarity with data visualization tools such as Power BI, or matplotlib
- Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis.
Soft Skills
- Analytical mindset with a passion for uncovering actionable insights from complex datasets.
- Excellent communication and presentation skills to translate technical findings into business value.
- Self-driven, adaptable, and innovative in a dynamic SaaS environment.
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