What you bring to the team

Work directly with the CEO to develop MVPs
Research and develop statistical learning models for data analysis
Keep up-to-date with the latest technology trends, recommend technologies for iComplai
Take ownership of data science projects from beginning to end: frame and structure questions, collect and analyze data, research, prototype, and build out data science pipelines and models in production, as well as summarize and present methodology and key insights
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Use and learn a diverse set of techniques spanning NLP, text mining, causal inference, and other forms of statistical modeling to solve important business and product problems.
Requirements

What we offer you

Work for an early stage start-up,
report directly to the CEO,
apply the lean start-up principles of build-measure-learn

Provider

Employee in the area of Tech wanted as Data Scientist
München Region
KA salary
KA Shares
from immediately Startdate
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