Senior Data Scientist
Data Science & Advanced Analytics - with departments in Frankfurt, Philadelphia, Beijing and Warsaw as well as a network of over 150 team members worldwide - is the global competence center for data science at IQVIA.
Complex advanced analysis at the highest level are conceptualized and implemented to support international customers in the pharmaceutical industry - often within multinational projects.
As a member of our team you can expect exciting international projects with interesting development perspectives.
Senior Data Scientist, Data Science & Advanced Analytics the role
Collaboration in projects of the European Data Science & Advanced Analytics Team
Development and execution of complex statistical, econometric, and machine learning analysis (Advanced Analytics, Predictive Analytics), especially in the area of Commercial Effectiveness (e.
g., Next Best Customer, Profiling, Segmentation and Targeting, Brand Performance drivers and optimisation, etc) and Real World Evidence (e.
g., risk of disease progression, treatment compliance, etc) in collaboration with European local offices
Development of innovative methodologies to deliver custom solutions to our clients as well as execution and implementation of concept studies using advanced statistical methods
Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships, to derive business-relevant findings, and develop new offerings
Implementation of new statistical and machine learning technologies
Working with technology teams to support machine-learning algorithms in big data platforms
Our ideal candidate will have :
Master degree in Mathematics / Statistics, Economics / Econometrics, Computer Science or related field
At least 3 years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms
Very good knowledge and in depth understanding of Machine Learning methods
Experience applying Machine Learning methods to business questions
Very good knowledge of the higher statistical and econometric methods in theory and practice
Experience with handling Big Data
Proficient in Python and / or R
Familiarity with REST APIs and web services
Excellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations
Local language skills to an advanced level (spoken and written), with complete fluency in English.
Strong analytic mindset and logical thinking capability, strong QC mindset
Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities
Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must