key activities
Perform regression analyses and others on large data sets
Communicate observations about data quality
Contribute to the discussions on taxonomy
Contribute to the improvement of data models and data quality (users perspective)
Enable proactive new analysis capabilities to the business
Adhere to structured processes and ensures details
Create impactful analysis and visualizations
Actively share your knowledge with others
the ideal candidate
Minimum 2 years experience as a Data Scientist analysing large amounts of data and creating predictive models
Completed a quantitative university degree (Mathematics, Econometrics, Industrial Engineering, Artificial Intelligence)
Experience with programming languages, such as Java, Scala, Python, R, (ISO) SQL, Pig L
Knowledge of statistical and machine learning techniques and tools
Knowledge of SQL and NoSQL database technologies and systems,
Knowledge of dashboard and reporting techniques and tools.
competencies
Excellent time management, decision making and organisation skills and able to work well with others as part of a team and with experts in other areas
You will have a close eye on the details
Able to work in an environment of change, rapidly responding to and delivering new services and systems
Driving results in a political dynamic environment and is not scared to take the responsibility
Has a structured way of problem solving with analytical skills
