Data Scientist

About the role

Location: Finland - Porvoo, Austria - Linz, Austria - Vienna, Sweden - Stenungsund

Hours: Full-Time

Type of Contract: Permanent

Application Deadline: 22/11/2024

Make Data as an Asset Real!
 
 
As a passionate and experienced data scientist, you support the implementation of the Data & AI strategy, working with stakeholders across business domains.  

As a member of the Data & Analytics team in Digital Solutions, you create, implement and maintain AI solutions, working with state-of-the-art technology. You  also support data & analytics knowledge building across Borealis and ensure compliance to the EU AI Act. 
 
You will:
 

• Work with business stakeholders in various domains to understand how process challenges can be tackled using AI, supporting safe and economical plant operations, efficient R&D, profitable sales or a more productive workplace. 
• Work with the data engineers in the D&A team to manage data ingestion and migration from various (internal and external) data sources to the Azure data lake and to transform, clean and store data in the structures as agreed with the data architect
• Build, test and document prescriptive and predictive data models and solutions and use visualization tools to provide clear actionable insights, working alongside the Software Development team to create user-friendly GUIs.
• Deploy ML models in production taking into account performance and scalability, in collaboration with our cloud experts and manage their end-to-end life cycle, in collaboration with citizen developers from business.
• Support knowledge building and drive the citizen community across Borealis, helping them to also stay compliant to the EU AI Act.

About you

• You have a master degree in AI, statistics, computer science or engineering and min 5 years working experience with data science projects, developing statistical and machine learning solutions for business problems, including reinforcement learning
• You have experience with manufacturing processes and process data, preferably in the chemical industry
• You are familiar with relational databases and SQL-like query languages and have basic knowledge about non-relational database technology and distributed computing (Hadoop, Spark)
• You have a good understanding of cloud technologies such as MS Azure, its basic components, its capabilities and limitations, and how cloud infrastructure can be leveraged for AI solution delivery and deployment. 
• You have good working experience with Databricks. Experience with Azure OpenAI or other GenAI is an asset. 

Our offer

Borealis has competitive compensation and benefits which you can read more about on our Career Page.

Application Process

If you're excited about the prospect of joining our team and being a part of Making It Real, please submit your application via the “apply now” button in the job posting to apply directly.

If you have any questions, please contact Maite Rosez (Randstad), maite.rosez@external.borealisgroup.com. 

We reserve the right to close this vacancy for further applications when we have received sufficient applications that meet the advertised requirements and will contact you as soon as screening is closed.

At Borealis, we are committed to an equal recruitment process. We value diversity, and all applicants & employees are treated fairly and equally. We do not tolerate any form of discrimination based on factors such as age, gender, ethnicity, religion, disability, sexual orientation, protected veteran status, gender identity or expression. 
 

Borealis only accepts candidate resumes from recruiters or recruiting agencies if they have been explicitly commissioned by Borealis for a specific recruitment and if the data is provided to us in line with the General Data Protection Regulation. Borealis will not accept or pay fees for candidate resumes of any form or kind that were sent unsolicited to either HR or directly to our hiring managers.