Data Scientist AI

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

Originally posted on Himalayas