Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
About the role
- Machine Learning Engineer responsible for developing impactful customer-oriented ML solutions. Collaborating in a hybrid environment with innovative approaches at a well-established company.
Responsibilities
- Responsible for building machine learning solutions that deliver real customer value
- Designing and translating ideas into ML approaches
- Working with large and diverse datasets, such as recipes, ingredients, prices, and consumption data
- Building data pipelines and actively contributing to our AI architecture
- Responsible for monitoring, transparency, and compliance when deploying models into production
- Close collaboration with product owners, developers, and domain experts to turn prototypes into production features
- Influence on AI development across the company
Requirements
- Completed Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or equivalent qualification with relevant professional experience
- Experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Knowledge of SQL and data preparation
- German language skills at C1 level
- Practical experience in deploying ML models to production
- Experience with Azure and MLOps, or interest in the food/nutrition sector is a plus
- Hands-on mentality, curiosity, and enthusiasm for building things from scratch
Benefits
- Flexible working hours (flexitime) with the option to work remotely on certain days
- Free beverages
- Financial benefits via employee card
- Company pension schemes
- Bike leasing
- Company events such as summer parties and Christmas celebrations
- Role-focused professional development programs
- Individual training with access to Udemy Business' extensive course catalog
- Short decision-making paths and a family-like working atmosphere
- Attractive, newly renovated premises in a prime location in the heart of Bad Kissingen
Job title
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Experience level
Salary
Not specified
Degree requirement
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