Senior Data Scientist

Join our growing team at Fokker Services and make an impact.

• 1 year starting contract
• 40 hours a week
• 1 HBO+
• 40 Vacation/ADV days per year

How you keep the engine running with us

As our Senior Data Scientist you will be part of our Advanced Analytics team in Hoofddorp. This team consists of data engineers, data scientists and business analysts who have various experiences and backgrounds. The Data Science Lead will be your manager and coach.

What will you do?

As our Senior Data Scientist, you are responsible for guiding the team in building and improving tools that can analyze data and provide valuable recommendations. Your work will directly support the company's goals by offering insights that help improve business strategies and outcomes based on data.

In addition, you are responsible for, among other things:

• Creating and improving systems that use data to predict future trends and provide helpful recommendations. This involves using advanced techniques to solve complex business problems and forecast upcoming patterns.
• Ensuring that the data used for analysis is accurate, trustworthy, and consistent. This includes improving how data is collected, ensuring it’s correct, and maintaining its quality across all projects.
• Developing and managing systems that collect and organize data from different sources, both inside and outside the company. This makes the data flow smoother and more efficient, so the analysis is quicker and more effective.
• Leading projects related to data science, guide the use of new technologies, and mentor less experienced team members to help them grow.
• Regularly meeting with key decision-makers to adjust goals and ensure that the analysis is aligned with the company’s priorities.
• Help defining the direction of data analysis projects and work with management to plan the future of these projects.

How you are valuable to us

You are a Senior Data Scientist who knows how to communicate complex technical concepts to non-technical stakeholders. You can make sense of complex, high quantity and sometimes contradictory information to effectively solve problems. You are able to see ahead to future possibilities and translating them into breakthrough strategies.

In addition, you have:

• A master’s degree or PhD in Data Science, Statistics, Computer Science or in a related field.
• At least 5 years of experience with machine learning, predictive modeling, and data integration.
• Experience with cloud platforms such as Azure and Databricks.
• Knowledge of programming (SQL and Python).
• Strong skills in data visualization with tools like Plotly Dash or similar platforms.
• Experience in working with Lean principles and driving continuous improvement.

Where you will be working

With over a century of experience, innovation, knowledge, and expertise flow through our veins. Our cross-departmental approach and customized solutions leave a mark on the future of aerospace innovation. With our warm culture, we are more than just colleagues; we are a team of friends dedicated to both enjoyment and development. This passion and continuous improvement are what make our employees commit to Fokker Services Group for the long term.

We are pioneers with courage. It's no coincidence that we are a global player in aircraft maintenance and development. With passionate colleagues, we work on the most innovative and advanced solutions to make the aerospace sector more sustainable and efficient. We continue to push the boundaries of what is possible, ensuring that aircraft remain where they belong: in the sky!

What we offer

• A competitive salary commensurate with your knowledge and experience.
• 27-29 holiday days and 13 ADV leave days per year (when working full-time, 40 hours).
• A challenging international working environment.
• Professional and personal growth opportunities and a lot of autonomy.
• Company laptop and phone.
• An insider's look into the innovative world of aviation.
• A lot of room for professional and personal growth.
• Fun colleagues (trust us, we're not biased).

Ready for take-off?