Data Scientist, Additive Manufacturing

Job Description

Are you passionate about Additive Manufacturing (AM) technologies and eager to work with large data quantities, process optimization and quality assurance?

Then this is a unique opportunity to bring your strong data science capabilities, programming skills and learning attitude into play to help us implementing new AM technologies for large-scale production in the LEGO Group!

Core Responsibilities

In this new position as Data Scientist, you will be responsible for correlating machine performance and process data with the purpose of improving AM part quality. More specifically, you will:

• Data Cleaning and Preprocessing: Responsible for the preparation of collected data by cleaning, organizing, and redefining it into a suitable format for visualization and analysis. Assess large data quantities and ensure the dimensional reduction of these data is handled in a way that minimize the consequences of this reduction
• Process Optimization: Collaborate with engineers and production teams to optimize additive manufacturing processes based on data-driven insights, aiming to understand and improve process stability and part quality, as well as enable faster technology development cycles
• Quality Assurance: Drive the implementation of quality control algorithms and anomaly detection methods to supervise the Additive Manufacturing process and identify deviations or defects
• Predictive Modeling: Drive the development of models to predict process quality, potential defects, and forecast maintenance schedules using techniques like statistical analysis and machine learning
• Communication and Visualization: Ensure effective communication of findings and insights through data visualization and reports to multi-functional teams, customers and external partners to develop additive manufacturing solutions
• Root Cause Analysis: Engage in investigating and identifying the root causes of manufacturing process issues or failures by analyzing historical data, helping in continuous improvement efforts
• Capabilities Building: Support in building capabilities within the LEGO Group to develop and enhance data science skills, knowledge and expertise to expand our AM program and meeting organizational goals
• Data Collection: Support in setting up data extractions methods to gather data from various sources within the additive manufacturing process, including sensor data, machine logs, and quality control measurements

Play your part in our team succeeding

Additive Design & Manufacturing (AD&M) department is developing and maturing AM technologies in the LEGO Group. The department is doing research and development of design methodologies and technologies, production technologies, materials and applications. The focus is on both polymer and metal AM technologies and applications, in close collaboration with partners, with the aim to push and drive the AM industry and its technologies towards true large-scale manufacturing.

The AD&M Technology Maturing & Analytics team, are taking promising AM technologies and processes advancing them to a stage of high maturity and readiness for industrial implementation. The work includes optimizing and fine-tuning the technologies, conducting extensive testing and validation, and addressing any remaining technical challenges or limitations. You will collaborate closely with multi-functional teams, including engineers, data scientists, material experts and manufacturing technicians, to refine the processes, improve material properties, enhance system performance, and ensure reliability and repeatability. Further, you will also contribute to documentation, quality control procedures, and knowledge transfer to facilitate the successful integration of AM technologies and processes into an industrial production environment.

Do you have what it takes?

The ideal candidate comes with 2+ years of proven experience working with data analysis, modeling, statistics or similar, and have an education within Engineering, Data Science, Mathematics, Physics or equivalent. In addition, you have:

• Strong analytical skills being able to understand, analyze, and illustrate data
• Proven experience with programming languages such as Python, R, etc.
• Solid experience with data visualization platforms e.g. Microsoft Power BI
• Knowledge about cloud services such as Microsoft Azure, and data engineering platforms such as Databricks
• Understanding of different data infrastructures and data extraction methods and tools
• A great teammate that strives to succeed in a constantly evolving and ambitious environment
• Organized and structured, determined, proactive and out-going attitude
• Excellent communication, partner management and organizational skills
• Proficiency in English both verbally and written

It will be an advantage, but not a requirement, if you have:

• Experience with Big Data
• Ability to construct Machine Learning models
• Knowledge of AM technologies
• Flair for innovation, development and creative thinking

The position is based in Billund, DK and relocation support is not offered for this role.

#LI-RR1

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

Research shows that women and people from different underrepresented backgrounds often only apply for a job if they meet 100% of the listed qualifications. For all candidates, if you dream of being a part of our team and you meet many, but not all of our listed qualifications for this role, please apply.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.