Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business
Support business partners in translating their needs into specific research questions that can be addressed in a data science project
Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data or variable transformation
Apply mathematical, statistical and modeling techniques in a suitable environment
Use statistical analysis to support strategic decision-making
Support partners in the correct interpretation and application of analysis results
Training Business partners interpret analysis results independently or translating analysis results into the right actions
Collaborate closely with Data Science Engineers to support the entire data pipeline process
Evaluate the long-term validity of the analytical solution
Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice
Profile:
Should have 12+ years of working experience in Data-related projects
At least 7+ years of relevant experience as a Data Scientist
In-depth knowledge of statistical methods for data analysis, interpretation and application of these techniques to solve a Business problem
Experience in applying a variety of analytical algorithms, including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks and others
Proficiency in Python is expected to perform Data Science activities
Strong analytical and problem-solving skills
Ability to work in a team-oriented, collaborative environment
Excellent communication and interpersonal skills
Experience in text mining, NLP, understanding of image processing
Bachelor’s or master’s degree in a relevant field such as Statistics, AI / ML / NLP is an added value