Pipeline: Data Scientist (all genders)

The Data Scientist drives the development and delivery of advanced analyses, tools, and insights to optimize AbbVie commercial and medical initiatives.

Key responsibilities

• Applies machine learning and predictive analytics with a focus on regression and linear models in Python to create new insights and real value for our business units
• Creates profound data visualization in Python
• Applies (agile) project management and proactive communication to ensure safe & sound project delivery
• Demonstrates understanding across a wide range of technologies, including big data, data integration, data visualisation and analysis, software development, statistics and machine learning
• Develops and maintains a good understanding of business priorities, challenges and needs
• Effectively organises and presents project objectives and progress, clearly contributing to technical documentation and presentations
• Works with complex data sets, keeping focus on achieving success for our business and our patients

• Bachelor/Master degree in statistics, mathematics, econometrics, physics, business informatics or a similar field
• Experience in time series analysis, forecasting, regression and linear models
• Experience in statistical data analysis, concepts and methodologies and in predictive and prescriptive analytics
• Experience in machine learning/pattern matching or equivalent scientific field (publications in scientific journals would be considered a plus)
• Fluency in Python and familiarity with packages such as scikit-learn, statsmodels, scipy and pandas. Knowledge of common data structures and ability to write efficient code in Python
• Ability to integrate large volumes of data from multiple data sources, conduct deep data dives and statistical analysis systematically
• Experience creating patient types, HCP segments, unsupervised clustering and data association map and graphs. Experience working with large datasets
• Good English skills, verbal and in writing