Data Scientist (AI)

Location: Eindhoven, Netherlands; also open to candidates near hirify.global hubs in Dublin, Ireland; England-Berkshire, United Kingdom; Munich, Germany; Milan, Italy; Bernin and Grenoble, France. The role is ideally within commuting distance of an hirify.global office; travel required 20% of the time. Relocation is not eligible.

Company

hirify.global develops materials science and engineering solutions and equipment for semiconductor chips and advanced displays.

What you will do

• Collect, process, and analyze manufacturing, simulation, and operational datasets to identify trends, bottlenecks, anomalies, and improvement opportunities.
• Develop and validate predictive, statistical, analytical, and optimization models for forecasting, classification, anomaly detection, and operational decision-making.
• Combine analytics, machine learning, and discrete-event simulation to evaluate manufacturing scenarios and improve planning, scheduling, resource utilization, and factory performance.
• Design experiments, analyze results, and validate model effectiveness and business impact.
• Work with customers, domain experts, and engineering teams to translate business requirements into technical solutions and actionable recommendations.
• Present findings, document methodologies, contribute to customer workshops and project reviews, and evaluate emerging data science and optimization methods.

Requirements

• Strong foundation in statistics, mathematics, and data analysis.
• Experience developing predictive and analytical models, including feature engineering, exploratory analysis, and model evaluation.
• Strong Python programming skills and hands-on experience with Pandas, Polars, NumPy, Scikit-learn, and related analytical tooling.
• Understanding of optimization techniques, statistical experimentation, and hypothesis testing.
• Strong problem-solving and analytical thinking skills.
• Ability to communicate technical concepts to diverse technical and non-technical stakeholders.

Nice to have

• Experience with discrete-event simulation or operations research.
• Experience with manufacturing, scheduling, supply chain, or industrial systems.
• Familiarity with machine learning deployment and MLOps concepts.
• Experience working with high-dimensional or time-series datasets.
• Knowledge of semiconductor manufacturing or advanced industrial environments.

Culture & Benefits

• Supportive work culture focused on learning, development, and professional growth.
• Collaborative team of data scientists, AI engineers, software developers, and cloud architects working on industrial AI and optimization.
• Benefits and programs supporting employee health, wellbeing, and personal and professional development.
• Full-time regular employment with travel required 20% of the time.