Data Scientist AI

 Posted 21 days ago
     
2-5 years experience
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AI Summary

Develop and implement AI and data science models to solve industrial use cases in manufacturing and operations. Collaborate with stakeholders and data engineers to translate business challenges into scalable, data-driven solutions.

This position focuses on developing advanced analytics and AI solutions that create measurable business impact across the organization. The person will work on real-world industrial use cases, especially in areas such as manufacturing, engineering and operations, translating business challenges into data-driven solutions and models that support decision-making, process optimization and new capabilities.

Role description:

• Develop and implement data science and AI models for industrial use cases

• Translate business problems into analytical approaches and practical solutions

• Perform data exploration, data preparation and feature engineering

• Work closely with Data Engineers to ensure data availability and usability

• Collaborate with business stakeholders to understand needs and ensure business relevance

• Support the deployment of models into production environments

• Monitor and improve model performance over time

• Contribute to the development of scalable AI capabilities and best practices

• Communicate results, insights and recommendations in a clear and business-oriented way

• Support decision-making, process optimization and the development of new business capabilities through data and AI solutions

Qualifications:

• Degree in Data Science, Mathematics, Computer Science, Engineering or a related field

• Several years of experience in data science, machine learning or applied analytics

• Strong programming skills, especially Python and SQL

• Experience with machine learning and statistical modeling

• Familiarity with industrial or operational data is considered a strong advantage

• Experience with model deployment and MLOps concepts is beneficial

• Strong analytical and problem-solving skills

• Ability to work effectively in cross-functional teams

• Strong communication skills and good business understanding

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