Desired Skills and Experience
- Become an essential part of our highly-qualified data science team for innovative projects and R&D
- Take responsibility for the development of smart analytics solutions for our marketing department and live operations
- Apply modern machine learning techniques to generate predictions with a direct business impact
- Mentor more junior team members
- Have a real impact on how we further develop our data-driven business operations
- Collaborate closely with our data warehouse engineers
- At least five years’ professional experience in applying statistics/data mining/machine learning methods in data science projects
- Professional experience in deploying analytics solutions in a production environment
- Hands-on experience of conducting analysis on structured and semi-structured data
- Extensive experience with SQL and noSQL databases, such as HPE Vertica or Google BigQuery
- Practical experience with R and Python and familiarity with data aggregation, visualization, and machine learning libraries, e.g. pandas, scikit learn, ggplot2
- Experience working with big data tools (e.g. Apache Hadoop, Spark) and machine learning (e.g. Tensorflow, Keras)
- Your professional growth is important to us. We provide agile structures, flat hierarchies, and ongoing training opportunities
- Results-oriented teamwork that values employee contribution
- A positive work-life balance
- Leading technology and analysis opportunities that give you the freedom to innovate
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