Data Scientist DSP Predictive Maintenance

Job Title

Data Scientist DSP Predictive Maintenance

Job Description

Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building models that can enable data-driven services for our customers using that data? Do you want to contribute to the fast growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Platform team! 

Your Position 

You will work as a Data Scientist in the Predictive Maintenance team. This hybrid and multi-cultural team have Data scientists, Data Engineers, a DevOps engineer, a QA engineer, an Architect, an UX designer, a Scrum Master and a Product Owner.

Through predictive solutions, the Digital Service Platform aims at optimizing Airport customers’ assets usage and maintenance, impacting their performance, cost and sustainability KPIs by expanding the lifetime of the components.

In your role, you’ll flexibly work on analyzing data, creating models, testing the results and discussing with users and customers the conclusions you reach, to continuously improve the insights that your models provide.

Your responsibilities: 

• You will participate in the development of our products and services by designing models and developing algorithms to solve real world problems
• You will work together with your team on developing anomaly detection based solutions
• You collaborate with engineering and domain experts throughout the company and determine how to get value from our data
• Participate or support in productizing and deploying algorithms
• Keep up with advancements in the field of data science and other related fields
• You work together with your fellow data scientist located in the Netherlands as well as other locations to share experiences and learn from each other

Your Profile 

• You have strong knowledge of data science which you can demonstrate through your work experience, relevant degrees or personal projects
• You are experienced in solving real-world problems with data science techniques and have successfully put data science models into production with proven value
• You have a strong knowledge and proven experience with Python and PySpark. Knowledge of libraries like pandas, scikit-learn and TensorFlow is required.
• You have knowledge and proven experience using cloud platforms, particularly DataBricks, for ML model development.
• Knowledge and Experience with MLOps (E2E Data and Machine Learning Pipelines) is required.
• You are a strong communicator, which can translate technical results and ideas to non-technical stakeholders.
• You have experience working with colleagues located in different parts of the world
• You are familiar working according to CRISP-DM cycles
• Experience with Predictive Maintenance model development is a plus.
• You are fluent in English; Dutch is a nice-to-have

What we offer​

In this challenging and responsible position, you will have the chance to make a significant contribution to industry-leading projects and be connected to our dedicated people and customers. We offer a position in an informal, international and professional working environment with a lot of scope for personal development. By joining our profitable and growing company you will be able to reach your goals and focus on your future.​

This position offers a competitive salary range of € 5590 to € 5900  gross per month (excluding 8% holiday allowance). Through exceeding performance expectations, you even have the possibility to grow outside this scale. 

On top of your fixed salary you’ll receive the following secondary benefits:​
 

• 40 vacation days (20 statutory days and a flexible budget worth 20 days).​
• Flexible working hours.​
• A hybrid workplace (40% working from home and 60% in the office).​
• A Health & Wellbeing budget worth €300,- per calendar year.
• Commuting allowance, including full reimbursement of travel by public transport.​
• Working from home allowance.​
• Collective pension scheme and discount on additional health insurance.​
• On-site company health centres with a gym, physiotherapists and occupational therapists.​
• Vanderlande Academy and training facilities to boost your skills.​
• A variety in Vanderlande Network communities and initiatives.​
• And a great company restaurant and coffee bar with barista.

Your application

Are you interested in this position? Then apply now directly on our workday vacancy link with your resume and a short summary about your interest in this role.

Questions?

Contact: +31 413 494 702 or astha.singh@vanderlande.com

PS: Due to process compliance, we cannot process email applications. Kindly use the correct vacancy link to apply for this vacancy.

Diversity & Inclusion

Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

Background screening

For this position it is possible that a background screening will be conducted. This screening can include checks such as verification of identity, qualifications or other relevant records, which may include criminal background or sanctions list checks, in accordance with our internal policies and applicable laws. Any job offer may be extended under the condition that the screening does not give reason to reconsider the hiring decision. Candidates will always be informed about the process and their rights before any screening is initiated.