About us

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE). With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

Job description

As a senior data scientist, you will join TVARIT’s Metals Division to develop AI solutions that enhance quality, yield, equipment reliability, and energy efficiency in metal manufacturing. This role requires hands-on experience with real plant data, expertise in time-series analysis, and collaboration with engineers to translate data into actionable insights, ultimately driving improvements in manufacturing processes.

• Develop, validate, and improve ML and statistical models for Predictive Quality, Predictive Maintenance, and energy optimization use cases in metal production and processing
• Analyze high-frequency and batch time-series data from sensors, PLC/SCADA systems, historians, MES, and quality labs
• Engineer features that capture process behavior, such as lags, rolling statistics, and frequency-domain features
• Apply anomaly detection, forecasting, classification, regression, and root-cause analysis techniques
• Design robust validation strategies for time-dependent data and quantify model uncertainty and limitations clearly
• Work with plant process, quality, and maintenance engineers to understand process flows and translate them into modeling problems
• Assess data readiness and quality at customer sites and recommend practical remedies
• Contribute to end-to-end project delivery, from data onboarding through model deployment

Relevant work experience

• 7+ years of overall professional experience in data science or machine learning applied to industrial data
• Mandatory manufacturing plant experience with real process, sensor, and quality data
• Strong practical experience in time-series data analysis and validation of time-dependent models
• Proven track record of deploying models that delivered measurable business impact

Benefits

• Mentorship opportunities for junior data scientists
• Travel opportunities to customer plants as required
• Collaboration with a talented research team
• Participation in innovative AI projects

Skills required for the job