Data Scientist (m/f/d)

Role description

As a Data Scientist at Arethia, you will drive AI innovation across internal processes. You will develop intelligent chatbot and LLM applications, enhancing operational efficiency, while also collaborating with R&D teams to explore AI-driven solutions for flavor generation. This role offers the opportunity to work across engineering, operations, and product development, applying your expertise in machine learning to real-world challenges. We are looking for someone who is proactive, curious, and eager to lead impactful AI projects to join our team.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, or equivalent practical experience.
• 2+ years of experience in machine learning, NLP, or AI development, particularly with LLMs and chatbot frameworks.
• Proficiency in Python, TensorFlow, and data analysis tools.

Your Mission

• Develop and maintain internal chatbot and LLM applications, ensuring seamless integration with existing systems.
• Analyze operational data to identify bottlenecks and propose AI-driven solutions to enhance operational efficiency in Supply Chain, Quality and Corporate Services.
• Collaborate with R&D teams to explore AI applications for innovative decision support systems for flavour creation and design.
• Collaborate with commercial teams to explore AI applications for product selection and management.
• Drive commercial impact by improving selection and management processes, ensuring optimal resource allocation and enhanced decision-making.
• Lead cross-functional projects, working closely with engineering, product, and service teams.
• Stay updated on the latest advancements in AI/ML technologies and implement best practices across projects.

Contact

If you have any questions, do not hesitate to contact us.

Our Process

• Initial Screen with the Recruiter
• Technical Interview with the Hiring Manager
• Challenge onsite

Preferred Qualifications

• Experience in deploying AI solutions, preferably within an industrial environment covering departments such as production, procurement, R&D, commercial, and master data.
• Familiarity with cloud platforms (Azure, AWS) and scalable ML solutions.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent organizational and project management skills, with an ability to prioritize tasks effectively.
• Knowledge of data pipelines, ETL processes, and model optimization techniques.
• Passion for exploring new AI trends and applying them to real-world challenges.