At Orca AI, we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. At Orca AI, we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts,  leading the research and development of innovative analytics products. We’re seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:

• Utilize a creative combination of AI methods, machine learning algorithms, statistics, and business intelligence to build and refine data tools. You will be actively involved in the entire data science value chain – from use case exploration to data modeling and deployment.
• Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
• Take a proactive role in building and optimizing AI/ML pipelines and infrastructure.
• Quickly identify gaps in delivery, implement robust monitoring processes, and take full ownership of ensuring successful product launches.