Senior Data Scientist (f/m/d)

Siegwerk is one of the world’s leading suppliers of Printing Inks and sustainable packaging solutions. A career here will give you significant flexibility and support in a company focused on making a positive impact in the world. Siegwerk is poised to disrupt the global packaging industry; changing the way packaging is produced and consumed for the benefit of us all. At Siegwerk, you will have everything you need to help make that change. 

Join us, let’s Do it. With Heart. 

Location: Alfred-Keller-Straße 55, 53721 Siegburg

Apply now!

Our benefits – What we offer You:

• Flexible working hours, remote work (up to 60%) and 30 days of vacation
• Attractive remuneration 
• Good traffic connections (job ticket available), city center location with restaurants and stores as well as an in-house canteen
• Possibility to use a job bike 
• Access to the global learning platform “Siegwerk Learning Hub” with more than 20,000 online learning modules accessible worldwide as well as online language training with Speexx
• External employee consulting ICAS, which supports you with professional and private questions
• Free Christmas tree for all employees

Your Tasks – What You can expect as Senior Data Scientist (f/m/d)?

• You analyze manufacturing data to identify patterns, trends, and correlations that impact ink quality and production efficiency.
• You collaborate with your data science team members to identify new business use cases and present it for your business stakeholders.
• You present new insights to C-level executives from different business units within the organization.
• You develop predictive models, implement prototypes, and guide your team in interpreting model results in a business context.
• You embed your data-driven decision algorithms in business operations and track its functionality alongside your business partners to ensure high-rate customer satisfaction.
• You work in a cross functional environment with an international team in an agile environment
• You stay updated on the latest advancements in data science, machine learning and requirements.

Your Profile – What do You bring as Senior Data Scientist (f/m/d)?

• You have a Master or PhD degree in the field of Physics, Statistics, Econometrics, Business informatics or any related discipline. 
• You bring work experience in any relevant field, ideally 5 years at least in similar analytical context with relevant quests for supply chain, customer segmentation and manufacturing.
• You are experienced in working in agile teams and you can proactively explore and communicate findings in a cross functional team from business, engineers, and IT to deliver business use cases.
• You have an analytical mindset with strong knowledge in SQL, Python as well as common BI tools such as Tableau, or Power BI to implement business reports and BI solutions.
• You bring a strong expertise in cloud as well as on-premises storage systems (preferably MS SQL Server, SAP BW, and azure storage services).
• You have a good understanding of business processes as well as sound experience working with enterprise ERP systems like SAP ECC/HANA.
• You bring advanced programming skills in languages such as Python and R particularly concerning AI/ML development.
• You are familiar with best practices in extracting, loading, and transforming data to best support underlying business quests.
• You are capable of analyzing and communicating findings in potential process optimization scenarios.
• You are fluent in English and preferably also in German.

Are you interested?

Should you have any further questions, Sarah Inger looks forward to your call! You can reach her via phone 02241 304 107.

The application deadline is 01.04.2023. Your application can only be considered after this deadline if the decision to fill the position has not yet been made at that time.

Job ID: 25746

Please use our online platform to apply for this position. Job applications via mail or e-mail can not be accepted due to data security.

*For marketing purposes different job titles are mentioned here whereby the job ad title is relevant.