REQUIREMENTS:

• Residency in or near Eindhoven.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 3 to 5 years of experience in a Data Science position. Experience within a high-tech or process industry is a plus.
• Proficient in one or more of the following programming languages: Python, JavaScript, R, SAS, or SQL.
• Familiar with big data technologies such as Hadoop, Spark, Databricks, Kafka, etc.
• Familiar with cloud services such as Azure, AWS, and Google Cloud.
• Familiar with ML frameworks such as TensorFlow, PyTorch, etc.
• Ability to communicate complex data insights effectively to both technical and non-technical audiences.
• Professional proficiency in English, both verbal and written.

ABOUT SENERGETICS

Established in March 2022 by Frank Jacobs and Anitha, Senergetics is on a mission to revolutionize industrial practices, prioritizing asset health management for safety, sustainability, and efficiency. Inspired by sensing technology, we’re tackling energy spillage and corrosion under insulation (CUI) in the process industry.
October 2023 marked a significant milestone with seed funding from DeepTechXL, empowering us to expand operations and drive further advancements.
The Senergetics currently consists of 14 colleagues, including our Co-Founders, Application Engineers, Data Scientists, Full Stack Developers, Marketing & Communication Coordinators, a DevOps Engineer, a Business Controller, and an HR Manager. With a strong company culture, we are well-positioned to expand our business and grow together as a company. To make this dream a reality, we are continually seeking skilled colleagues to expand our diverse team.
As an approved Recognized Sponsor by the IND, we can provide visa sponsorship.
Want to learn more about us? Visit our website: senergetics.ai.
Soort dienstverband: Fulltime

Screeningsvragen:

• Are you based in Eindhoven or within commuting distance? Unfortunately, candidates who don’t meet this requirement will be automatically disqualified.

Werklocatie: Hybride werken in 5656 Eindhove

• Develop and implement data models to extract actionable insights from large volumes of sensor data.
• Collaborate with engineers and domain experts inside and outside the organization to identify key process parameters and develop predictive models for process optimization.
• Analyze time-series data to uncover trends, patterns, and anomalies that impact operational efficiency in the process industries.
• Design, develop, and maintain data pipelines to ensure clean, structured, and accessible data for real-time analysis.
• Apply machine learning (ML) and artificial intelligence (AI) techniques to build predictive maintenance models and anomaly detection systems.
• Provide data-driven insights to the team for product improvements.
• Communicate findings to stakeholders through visualizations, reports, and presentations.