Full Time

Senior Data Scientist

Collaborative, driven, engaged, curious, and structured data scientist.

About the position

If you believe that digitalization is a key factor to achieve sustainable development and you wish to contribute to radically change the maritime industry, developing truly impactful software solutions, you should consider joining us at Navidium and be part of the solution to the challenge of our time.

As a Senior Data Scientist you'll be designing, developing, and deploying software solutions for open-source environments aiming to increase data accuracy, to optimize operational efficiency, to reduce fuel consumption and CO2 emissions, and to support data generation, contextualization, and explanation. We would expect applicants to have deep understanding of the creation of algorithms and excellent hands-on experience with different kinds of projects with ML/Data Lake.

Successful candidates would be joining our dynamic and diverse team of software architects and developers to work on automated routing solutions, performance optimisation, condition-based maintenance and active reporting.

Job Requirements

We consider the following skills desirable rather than strictly necessary.  

  1. Solid understanding of complete data science life Cycle.
  2. Excellent understanding of MLOps.
  3. Experience with optimizing Algorithms
  4. Competence with Deploying models and setting up a monitoring stack.
  5. Using advanced Statistical Procedures to obtain actionable insights.
  6. Hands on experience with cloud services offered for model building/deployment/monitoring.

We don't expect the ideal candidate to tick all the boxes. Rather, we are looking for people eager to join a dynamic team, willing to motivate others and to be motivated by complex challenges. Specific knowledge of or a keen interest in the maritime industry would be a plus.

Candidates should have at least 6 years of hands-on data science experience, hybrid cloud environments, with excellent written and verbal communication skills.

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