D&AI
Stuttgart
Permanent
Lead Data Scientist - Stuttgart - Hybrid
Masentó are partnering with an innovative Manufacturing business based in the Stuttgart area who are pushing the growth of their digital landscape.
We are on the search for a Lead Data Scientist who can help forge the future of the company's AI innovations.
Key Responsibilities:
- Lead and mentor a team of data experts to deliver impactful insights and AI solutions.
- Develop advanced machine learning algorithms and statistical models to optimize manufacturing processes, improve product quality, and drive operational efficiency.
- Define and implement Deep Learning architectures and strategies creating synergies across data science projects; aligned with business needs.
- Drive the development and implementation of predictive maintenance strategies to maximize equipment uptime and minimize downtime.
- Work closely with business stakeholders to understand their requirements and translate them into actionable data science projects.
- Stay abreast of the latest advancements in data science, machine learning, and manufacturing technology to drive continuous improvement and innovation.
- Drive the innovation of new technologies & implementation, including NLP, LLMs and Generative AI
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Engineering, or a related field.
- Extensive experience in leading data science teams and delivering impactful projects in a manufacturing or industrial environment.
- Proficiency in programming languages such as Python or R, along with experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Strong expertise in machine learning techniques, including supervised and unsupervised learning, time series analysis, and predictive modeling.
- Excellent communication and stakeholder management skills, with the ability to effectively convey complex technical concepts to non-technical audiences.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.
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