BackstageIT

Data Scientist

Premium
BackstageIT
Nespecificat
În locația angajatorului
Posibil fără experiență
Full-time

Data Scientist will execute data science projects to solve difficult, non-routine analysis problems by applying advanced methods to create a combination of solutions, new hypotheses based on both new and existing real-world data related to quality. By applying advanced methods including artificial intelligence, machine learning, causal inference, advanced statistics, natural language processing and other related techniques, this incumbent will be a key go to person to ask questions, connect the dots and uncover opportunities that lie hidden within data with the ultimate goal of realizing the data's full potential.

  • Is responsible for developing and implementing the data models within the defined analytics framework, enabling global and regional Medicine functions to make data driven decisions related to quality.
  • Manages and coordinates medium size/complexity projects to evaluate the impact of QM initiatives in the Medicine organization.
  • Contributes to continuous improvement of the QM analytics framework according to industry standards.

Accountabilities

  • Contribute to the delivery of successful business and customer focused quality data analytics solutions:
  • Understand quality-related business problems and develop and optimize use cases for the data analytics framework.
  • Understand data, IT, and business constraints.
  • Investigate additional data sources to be used in predictive data analytics modeling.
  • Generate and interpret data analytics outputs for quarterly Business Intelligence Reporting.
  • Utilize high quality, cutting edge analytic approaches to solve problems and transform towards smart decision making: Apply strong expertise in data science to continuously optimize the QM data analytics models and use cases for quality-related data driven decision making.

Lead Data Science activities of Data Management Operations:

  • Develop and maintain data operational processes adhering to all compliance requirements.
  • Develop and maintain the monitoring process for data science models in production.
  • Develop and implement processes for oversight of data collection/curation and data review.

E-mail: hr@backstage-it.nl
Call us: 069499934

BackstageIT
Adresa
Chișinău
Studii
Orice
Experienta de munca
Posibil fără experiență
Salariu
Nespecificat
Grafic de munca
Full-time
Locul de muncă
În locația angajatorului
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