Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
SK
Onsite Dual Study – Artificial Intelligence & Data Science
Posted 1 hour ago
About the role
- Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Responsibilities
- Assist with the analysis and processing of large datasets (e.g., data preparation, database management, statistics, data mining)
- Develop and apply machine learning/AI models (e.g., for image or speech recognition, predictive analytics, automation)
- Support software and system development, including web technologies, databases and cloud solutions where applicable
- Participate in interdisciplinary projects, including documentation, testing and evaluation of prototypes or applications
- Collaborate with IT, development and data science teams across the company
Requirements
- Good general higher education entrance qualification (Abitur), technical college entrance qualification (Fachhochschulreife) or a technical vocational qualification
- Enthusiasm for mathematics, computer science, data and technology
- Strong technical understanding and spatial visualization skills
- Interest in AI, data analysis and programming
- Experience in programming, data analysis, statistics, software development or similar is desirable
- High level of commitment, initiative and enthusiasm
- Good communication skills and the ability to work in a team
Benefits
- Challenging and responsible tasks in an international working environment
- Additional financial benefits as well as holiday pay and a health bonus
- Subsidy for company pension plan and occupational disability insurance
- Discounted terms for obtaining a driver's license
- Good transport connections and parking facilities
- Employee events (e.g., Christmas party, folk festival visit and company barbecue)
- Low-cost meals in the company canteen
- On-site company fitness studio
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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