Data Scientist

About Nautilus.

Nautilus is building artificial intelligence to advance the efficiency of ocean commerce. We deliver technology to help shipping companies minimize fuel consumption, maximize operational efficiency, and optimize fleet performance. By arming ship owners and operators with real-time predictive decision support, Nautilus is reducing greenhouse gas emissions and making global trade sustainable.

Ocean shipping consumes over $100 billion dollars of fuel every year, and up to 30% of it can be saved. For owner-operators, reliance on manually collected and analyzed data makes it difficult to optimize fleet performance in real-time. By providing a unified data platform that leverages machine learning, Nautilus helps its clients make better decisions to maximize the return on each ship and every voyage. For our clients, this means they drive closer collaboration, greater transparency, and stronger accountability across their global teams every day.

About you.

We are hiring a Data Scientist to join the Nautilus Labs team. You are inquisitive and enjoy exploring new research questions, and are capable of working largely independently. You have a strong foundation in statistical thinking and machine learning, with a background in data science, statistics, computer science, physics, naval architecture, mechanical engineering, or a related quantitative field. You have experience conducting technical investigations and building models with real-world data, and are able to collaborate with and communicate findings clearly with colleagues across the organization. You are comfortable building and evaluating regression models, and have experience with or interest in some combination of outlier detection, optimization methods, Bayesian methods for data analysis and modeling, model training and deployment, and cloud-based ML tooling. Familiarity with maritime, oceanographic, and meteorological data is a plus.

 

Regardless of whether your primary strengths and interests lie more in statistics, data investigations and research, or machine learning and MLOps, you’re interested in contributing to the full data science life-cycle: problem development and exploration; model implementation and deployment; and model applications to drive insights and client value.

Outcomes for this role.

In this role, you will be responsible for working with maritime ship and weather data to detect trends and develop or improve predictive models. You will work closely with other data scientists, data analysts, and software engineers to build, test, and deploy robust ship performance models. You will partner with our product team to help conceptualize, design, and implement new machine learning-based products. While we are a collaborative team, you will also be expected to take independent ownership of specific research and development projects. Your work will help drive product development throughout the Nautilus team, and support better client decision-making to help meet their fuel efficiency and sustainability goals.

Proficiencies.

• 2+ years of professional experience and/or an advanced degree, with a background in data science, statistics, computer science, physics, naval architecture, mechanical engineering, or another related quantitative field.
• Strong analytical skills and knowledge of the technical and statistical underpinning of typical data science methods.
• Proficiency with the Python data science stack is required; SQL, R or other data analysis languages are also valuable.
• Experience conducting technical investigations and modeling with real-world data.
• Collaborative with strong communication skills.
• Deep experience with regression modeling and supervised learning methods.
• Some combination of experience with outlier detection, optimization methods, Bayesian methods for data analysis and modeling, cloud-based ML-tooling, and MLOps best practices (note: expertise across all these areas is not expected or required)
• Nice to have: Familiarity or interest in maritime, oceanographic, and meteorological data is a plus, as is experience working with and modeling physical systems.

Our core values.

Get ready to join a group of diverse, smart, talented, and driven individuals. We are looking for people who are motivated by environmentalism and a future where shipping is sustainable and safe. A team member joining Nautilus is...

• We’re THOUGHTFUL, with a bias towards action.
• We’re an INCLUSIVE crew, and we are not passengers along for the ride.
• We’re DIRECT and we ask the tough questions.
• We EMPATHIZE with humanity.

Location. 

You may join as a Remote Crew Member, or as a member of the NYC Hub. In the NYC Hub, we expect to be in the office 2 days a week, beginning in January 2022. We are currently hiring in eastern and central timezones. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.