Szczegóły ogłoszenia

ManpowerGroup Sp. z o.o.

Senior Statistician


Opis stanowiska:

Principal Accountabilities:

  • Collaboration in projects of the European Advanced Analytics Team
  • Planning and execution of complex statistical analysis (Advanced Analytics, Predictive Analytics), especially in the area of commercial effectiveness and Real World Evidence in collaboration with European local offices
  • Development of innovative methodologies to deliver custom solutions to our clients as well as implementation of concept studies using advanced statistical methods
  • Application of modern data mining and machine learning techniques in connection with Pharma Big Data to identify complex relationships and to derive business-relevant findings
  • Support in the implementation of new statistical technologies

Miejsce zatrudnienia: Warszawa, Polska


Profile Requirements & Qualifications:

  • Master degree in Statistics, Economics/Econometrics, Computer Science or related field
  • At least 2 years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience
  • Good knowledge of the higher statistical and econometric methods in theory and practice
  • Good knowledge of Machine Learning and Data Mining technics
  • Experience with handling Big Data
  • Fit in R or Python, SQL and very good knowledge of MS Office package
  • Fluent in English
  • Knowledge of German language would be an asset
  • Strong analytic mindset and logical thinking capability
  • 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

Wymagany język angielski, na poziomie: płynny biegły

Wymagany język wszystkie języki, na poziomie: płynny biegły


We offer:

  • Participation in interesting international projects for global pharmaceutical companies
  • Exciting tasks in Machine Learning
  • A number of internal and external trainings
  • Participation in conferences and industry workshops
  • Constant contact with new technologies
  • Attractive benefits package (private medical care, life insurance, Multisport card, reimbursement for public transportation tickets, social fund)

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