Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
About the role
- Senior Data Scientist at Euromonitor International developing and improving ML models from consumer good data. Involved in data quality assurance and industry-specific model translation.
Responsibilities
- Formulating hypotheses and developing proof of concept ML models for NLP, Image Processing
- Supervised/Unsupervised Learning Tasks
- Translating industry specific knowledge into proper models
- Monitoring and ensuring data quality
- Communicating insights effectively in both written and visual way
Requirements
- Background in Mathematics/Physical/Natural Sciences or Engineering fields, relevant working experience of 5+ years
- Advanced knowledge of Google Cloud Platform (GCP), Google stack
- Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, sell commands, HTML/JavaScript and basic webapp development skills
- Good coding habits such as proper documentation, linting, styling, reproducibility, code review best practices, and test driven development
- Skills to maintain ML models; measure performance, add/remove classes, create effective labelling batches, retrain with assessment of the impact
- Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentations updated
- Skills to clearly communicate problem status, actions taken, conclusions, improvements and limitations
- Experience creating and using cloud resources, familiarity with notebooks, SQL instances, buckets, secrets, VMs, and service accounts, understanding and contributing to pipelines, applying model scaling practices and cloud cost awareness
- Understanding of which visualizations to use with different data types, comfortable with at least one visualization framework and capable of creating shareable/dynamic reports/apps
- Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP technical, a good understanding of deep learning techniques and awareness of model and computational complexity
Benefits
- Flexible work time with the perfect work/life balance
- Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks
- Intelligent and fun colleagues working in a constructive and inspiring atmosphere
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Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
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