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Issue 5994668214976512:
Issue 662 - Job links shouldn't use anchors (Closed)
Patch Set:
Created March 22, 2015, 11:38 p.m.
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| 1 <? include jobs/header ?> | |
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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. | 3 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 | 4 |
| 3 **Your daily business** | 5 **Your daily business** |
| 4 | 6 |
| 5 - Making a sense of lots of unstructured data | 7 - Making a sense of lots of unstructured data |
| 6 - Analyzing data collected about product life cycle | 8 - Analyzing data collected about product life cycle |
| 7 - Working with and reporting to different stakeholders | 9 - Working with and reporting to different stakeholders |
| 8 - Automating data flows and analysis | 10 - Automating data flows and analysis |
| 9 - More things we might forget here or do not even know about – your input is we lcome | 11 - More things we might forget here or do not even know about – your input is we lcome |
| 10 | 12 |
| 11 **What we are expecting** | 13 **What we are expecting** |
| 12 | 14 |
| 13 - An experienced data scientist with demonstrated success and a minimum of four years of relevant work experience | 15 - 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 | 16 - 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 | 17 - 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 | 18 - 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) | 19 - Solid experience in a scripting language (Python, R, Bash, etc) |
| 18 - Fluent in English (German helpful but not required) | 20 - Fluent in English (German helpful but not required) |
| 19 - Proactive, self-motivated, get things done and can work independently | 21 - Proactive, self-motivated, get things done and can work independently |
| 22 | |
| 23 <? include jobs/footer ?> | |
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