Analytics Engineer

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.

What you’ll do:

• Design & Develop cutting edge, scalable and robust big data pipelines, integrated with orca’s operational applications,
• deployed at hundreds of ships around the world.
• Design & Develop best practice big lakehouse semantic data.
• Serve as internal and external users, semantic data focal point.
• Be a pivotal part in a highly professional data team.

What you should have:

• BSc\B.Eng. or an equivalent background.
• 5+ years of prior experience as Analytics or Data Engineer.
• Strong Python proficiency.
• Strong SQL skills.
• Proficient in data modeling and lakehouse methodologies.
• Excellent team game.
• SU culture orientation.

• Big advantage if experienced with:
• Cloud based data solutions.
• Big-data platforms (Snowflake, Databricks, BigQuery etc.).

This is full-time position based in Tel Aviv. We do believe in a hybrid work environment, with an emphasis on the office, and one day a week from home.