Senior Specialist, Data Scientist

Job description:

About the role

Location: Austria - Vienna, Austria - Linz, Belgium - Mechelen, Finland - Porvoo, Sweden - Stenungsund
Hours: Full-Time
Type of Contract: Permanent
Application Deadline:


Make Data as an Asset Real!


As a passionate and experienced data scientist, you support the strategic development of a process digital twin for Borealis.

As a member of the Data & Analytics team in Digital Solutions, you are fully assigned, for the coming years, to our strategic digital twin development program, supporting the safe and profitable operation of Borealis production plants.

You will:

* Work with business stakeholders in production and R&D to understand how production processes can be modeled to support safe and economical operations and work with the digital twin agile team and digital solution owner to scope and design possible data analytics solutions
* Work with the data engineers in the D&A team to manage data ingestion and migration from various (internal and external) data sources and to transform, clean and store data in the agreed structure
* Build, test and document prescriptive and predictive data models and solutions and use visualisation tools & techniques to provide clear actionable insights
* Deploy 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


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 prior experience with front-end development
* 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
* Experience with Databricks 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.

Profile description:

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 prior experience with front-end development
* 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
* Experience with Databricks is an asset

We offer:

About the role

Location: Austria - Vienna, Austria - Linz, Belgium - Mechelen, Finland - Porvoo, Sweden - Stenungsund
Hours: Full-Time
Type of Contract: Permanent
Application Deadline:


Make Data as an Asset Real!


As a passionate and experienced data scientist, you support the strategic development of a process digital twin for Borealis.

As a member of the Data & Analytics team in Digital Solutions, you are fully assigned, for the coming years, to our strategic digital twin development program, supporting the safe and profitable operation of Borealis production plants.

You will:

* Work with business stakeholders in production and R&D to understand how production processes can be modeled to support safe and economical operations and work with the digital twin agile team and digital solution owner to scope and design possible data analytics solutions
* Work with the data engineers in the D&A team to manage data ingestion and migration from various (internal and external) data sources and to transform, clean and store data in the agreed structure
* Build, test and document prescriptive and predictive data models and solutions and use visualisation tools & techniques to provide clear actionable insights
* Deploy 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


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 prior experience with front-end development
* 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
* Experience with Databricks 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.