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| 1 You will help us to gain insights about our product from various data sources, a
nd to implement data-gathering processes in a professional manner. | |
| 2 | |
| 3 **Your daily business** | |
| 4 | |
| 5 - Making a sense of lots of unstructured data | |
| 6 - Analyzing data collected about product life cycle | |
| 7 - Working with and reporting to different stakeholders | |
| 8 - Automating data flows and analysis | |
| 9 - More things we might forget here or do not even know about – your input is we
lcome | |
| 10 | |
| 11 **What we are expecting** | |
| 12 | |
| 13 - An experienced data scientist with demonstrated success and a minimum of four
years of relevant work experience | |
| 14 - Experience working with relational databases and/or distributed computing plat
forms, KPIs and big data | |
| 15 - Strong understanding of predictive/analytical modeling techniques, theories, p
rinciples and practices | |
| 16 - Specific experience in more than one of the following: data processing, machin
e learning, statistical modeling, data mining or data engineering techniques | |
| 17 - Solid experience in a scripting language (Python, R, Bash, etc) | |
| 18 - Fluent in English (German helpful but not required) | |
| 19 - Proactive, self-motivated, get things done and can work independently | |
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