Senior Data Scientist

Copenhagen, DK

Danfoss

Danfoss engineers advanced technologies that enable us to build a better, smarter, and more efficient tomorrow. In the world’s growing cities, we ensure the supply of fresh food and optimal comfort in our homes and offices, while meeting the...

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Job Description

Are you a skilled Data Scientist with a passion for working in an agile environment where innovation and collaboration drive continuous growth? Imagine yourself shaping a new project from the very beginning, seeing your code come to life in real-world applications, and making a direct impact on the green transition.

At Danfoss Digital Services, we are developing advanced solutions for the food retail and district energy sectors. In this role, you will join our growing Center of Excellence for IoT and Cloud solutions, contributing to the development of cutting-edge technologies. 

In the Leanheat Heating Utility (LHU) project, you will play a key role in developing next-generation platforms for district heating optimization, providing you an opportunity to leverage your mathematics, physics, and programming skills to create innovative end-to-end solutions.

Learn more about Leanheat Platform

The position is posted for our brand-new campuses in either Copenhagen, Kolding or Helsinki, where we support flexible work arrangements.

Job Responsibilities

As a Senior Data Scientist, you will play a key role in developing solutions for end-to-end optimization in district heating. This includes network simulations, production optimization, and connecting demand-side responses. 

You will have the opportunity to engage in a variety of impactful activities, including:

  • Implementing production optimization solutions using Mixed-Integer Linear Programming (MILP) techniques in Gurobi, a state-of-the-art optimization solver together with our team of Data Scientists.
  • Developing novel optimization models for decisions under uncertainty, including e.g. interactions with the electricity market.
  • Working on building and developing data pipelines via various data engineering technologies together with our Data Engineer.
  • Working on cutting edge projects related to district heating, such as demand side response and end-to-end optimization that connects the whole value chain from heat producers to consumers.


You will also join our Data Science Guild, where you get to meet like-minded peers who are able to support your project. Data Science Guild is a platform for collaboration, knowledge sharing, and exploring the latest innovations in the field.

Background & Skills

We would love to meet you if you thrive in solving complex challenges and has a solid understanding of data modeling principles. 

We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business.

Key qualification and preferred skills to succeed in this role:

  • A master’s degree or higher in mathematics, statistics, physics, or a related field. A PhD is an advantage but not required. 
  • Knowledge of advanced large-scale optimization techniques is preferential.
  • Proficiency in Python, our primary programming language for optimization and analytics, with familiarity in C++ or the .Net Framework being a plus.
  • Knowledge of district heating/cooling systems or energy trading is an asset.
  • Fluency in English. Speaking Danish is a plus.


Apply now and join Danfoss where we are engineering solutions that allow the world to use resources in smarter ways – driving the sustainable transformation of tomorrow. 

For more information about the position, please contact Antii Solonen, Senior Manager, Data Science, +358 400734378. For information about the recruitment process, please contact Recruiter, Karin K P Jensen, +45 7488 3058. #LI-KJ1 #LI-Onsite

Please apply at your earliest convenience. We do not have an application deadline but accept applications as long as the job is posted.

Employee Benefits

We are excited to offer you the following benefits with your employment:

  • Bonus system
  • Paid vacation
  • Flexible working hours
  • Possibility to work remotely
  • Pension plan
  • Personal insurance
  • Communication package
  • Opportunity to join Employee Resource Groups
  • State of the art virtual work environment

 

This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.

Danfoss – Engineering Tomorrow

At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees.

Following our founder’s mindset “action speaks louder than words”, we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030.

Danfoss is an EO employer and VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected category.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  7  1  0
Category: Data Science Jobs

Tags: Agile Data pipelines Engineering Mathematics PhD Physics Pipelines Python Statistics

Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Salary bonus Team events

Region: Europe
Country: Denmark

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