Senior Data Scientist - Decarbonization

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København K

Opportunity


Come join us to help utilize technology to tackle the world’s CO2 challenge!

You’ve probably heard of or have even worked with IoT devices before. But have you ever heard of IoT devices that are close to half a kilometer long, weigh in at 300,000 metric tonnes and float around in the middle of the Pacific Ocean?

Well, we are lucky enough to work with these floating mega devices! We are even more fortunate to be tackling one of the most pressing issues in the world today….global warming.

But how do you mix large IoT devices with global warming?

Glad you asked! Shipping contributes to 3% of global CO2 emissions, and Maersk, as the world’s leading shipping company, has a large responsibility to tackle this issue and drive the industry towards solutions. Each decision starts with data and knowing our vessels’ data is part of our mission.

We’re progressing well on a journey to bring our 700 container vessels online by hooking up to countless sensors onboard. But this has proven to be quite the challenge! Hardware installations & upgrades, deploying our apps and dealing with limited connectivity on remote platforms are some of the daily challenges we face in Maersk Decarb. But nothing comes easy when you’re working with such grand ambitions!

We’re looking for a Senior Data Scientist to join an already big family of Teams that consist of Data Scientists and Software Engineers working together to process, analyze and make models from the large amount of data coming in from ships. The ambition is high, and it’s the engine of every advice we give the seafarers.

We offer.

Joining Maersk will embark you on a great journey with career development in a global organization. You will gain broad business knowledge of the company’s activities globally, as well as understand how the complexity of IT supports the transport and logistics
business.

At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs.

We are proud of our diversity and see it as a genuine source of strength for building high performing teams

Key responsibilities.


Your main responsibility is to develop, test, and deploy data science solutions together with the team. These can vary from dashboards to machine learning models.

As a Senior Data Scientist in the team, you are expected to also pitch in on Product, Data Engineering and Software Engineering tasks. We have a team culture where everyone contributes when they can which leads to more “full-stack” roles.

Do you think our current implementation of something is not as it should be? Take ownership and make a pull request to fix it! :)

Adding new features, and making changes to our data pipeline (spark, python, deployed on Kubernetes) that joins billions of sensor readings with weather and operational data.

Working with the Software Engineers on ensuring the models provide real world value, whether this will be through a simple endpoint in our API, or as part of an optimization algorithm which could be anything from a simple binary search to dynamic programming.

Collaborate with the Product Owners on new opportunities for improving our applications to get happier users and a greener fleet.

We are looking for.


A self-motivated person who likes working in an agile manner and have excellent communication and teamwork skills. You must enjoy learning, sharing, and taking part in our weekly team training sessions where we read books and take courses together.

You enjoy tackling unfamiliar problems and engaging with coworkers from around the organization as well as diving into new technical challenges. Our working language is English, and you should be fluent.

Substantial experience in a similar position, working with data science solutions, ideally in a product setting, where you have learned to balance speed and quality in the development process.

Great understanding of machine learning and statistics is required.

Experience of working with agile software engineering practices such asDevOps, DataOps or MLOps.

Strong skillset in SQL and python. Most of our code base is built in python, with PySpark doing some of the heavy lifting in the data pipeline.

Ability to communicate findings to both peers and business stakeholders.

Background in statistics, mathematics, computer science, engineering or similar.


Information og data

Denne ledige stilling har jobtypen "Finansmedarbejder", og befinder sig i kategorien "Økonomi og jura".

Arbejdsstedet er beliggende i København K.

Jobbet er oprettet på vores service den 8.7.2022, men kan have været deaktiveret og genaktiveret igen.

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Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Finansmedarbejder
  • København K
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