GI
data scientist
GULP Information Services GmbH
Erfurt · On-site Full-time Senior 2d ago
About the role
If working as a data scientist is not just a job, but a true calling for you, then you've come to the right place! We are passionate about helping you find a new job that allows you to fully realize your potential. A business partner in the IT sector is currently expanding their team at our Erfurt location. In addition to a direct, permanent position , there are attractive benefits. Apply online today! Randstad welcomes applications from people with disabilities.
- Direct placement into a permanent position with our business partner
- Numerous direct contacts with HR decision-makers
- Targeted placement of your profile with decision-makers
- Intensive preparation for the job interview with our client
- Salary structure depending on qualifications and professional experience
Your Tasks
- Development, training and fine-tuning of machine learning models in German
- Collaboration with data engineers to create robust data pipelines
- Use of models in production environments or prototypes
- Ensuring the reproducibility of the models, including documentation
- Selecting suitable algorithms for specific business challenges
- Conducting cross-validations and backtesting of the models
- Ensuring compliance with ethical AI guidelines and data governance requirements.
- Explanation of model results for users
- Mentoring of less experienced data scientists
Your Profile
- University degree in computer science or a related field
- Solid knowledge of Python
- Knowledge of various machine learning methods, e.g., decision trees, ensembles, neural networks, clustering, and Splunk.
- Experience in collecting, analyzing and interpreting large amounts of data
- Good understanding of MS SQL for data analysis and database optimization.
- Experience with big data platforms, e.g. Hadoop or Spark, is an advantage.
- Fluent German and English skills, both spoken and written.
Skills
ClusteringDecision TreesEnsemblesHadoopMS SQLNeural NetworksPythonSparkSplunk
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