Industrial Data & AI Analyst — Food Production Innovation

Dr. Schär; Friuli-Venezia Giulia; Presencial; EUR 30 000 - 36 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Onboarding program

Buddy

In-house canteen

Dr. Schär Academy

Company events

Resumo da oferta

Dr. Schär's R&D Centre in Trieste, located at AREA Science Park, is seeking a data-driven professional to join the Research & Innovation department.

You will lead innovation projects, analyze data from production lines and trials, and apply machine learning and AI to optimize formulations and processes. Collaborating with Production, Quality, and R&I teams, you will drive continuous improvement, leverage MES/SCADA data, and participate in an onboarding program with buddy support, an in-house

Qualificações

• Experience applying AI to business and industrial processes.
• Ability to integrate and analyze data from research activities and product development.
• Knowledge of data analytics and ML principles.
• Good command of the English language.

Responsabilidades

• Lead innovation projects focused on data analysis from production lines, development trials, and mathematical modeling.
• Analyze and correlate process parameters with finished product quality.
• Support development teams in leveraging AI technologies to optimize formulations and production processes.
• Collaborate with Production, Quality, and Research & Innovation teams to implement corrective actions and drive continuous improvement.

Conhecimentos

Data analytics

Machine learning

Artificial intelligence

MES

SCADA

English

Ferramentas

MES

SCADA

Descrição da oferta de emprego

Dr. Schär's R&D Centre in Trieste, located at AREA Science Park, is seeking a data-driven professional to join the Research & Innovation department.

You will lead innovation projects, analyze data from production lines and trials, and apply machine learning and AI to optimize formulations and processes. Collaborating with Production, Quality, and R&I teams, you will drive continuous improvement, leverage MES/SCADA data, and participate in an onboarding program with buddy support, an in-house