Data Scientist
BackstageIT
№14869635, 22 ноября 2024
Город:
Кишинев
Образование:
Любое
Опыт работы:
Можно без опыта
Зарплата:
Не указана
График:
Полный день
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.
We are appreciated for:
Daily shared lunches
Prepaid Udemy and Laracast accounts
Referral bonus for internal and external recommendations
Free English courses
Fun ways to relax: PlayStation, table tennis, table football
Corporate events for employees and their families
Beverage fridge, free coffee, tea, fresh fruits
Modern equipment
Official employment and social package
Modern and comfortable workplace
E-mail: hr@backstage-it.nl
Call us: 069369494
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.
We are appreciated for:
Daily shared lunches
Prepaid Udemy and Laracast accounts
Referral bonus for internal and external recommendations
Free English courses
Fun ways to relax: PlayStation, table tennis, table football
Corporate events for employees and their families
Beverage fridge, free coffee, tea, fresh fruits
Modern equipment
Official employment and social package
Modern and comfortable workplace
E-mail: hr@backstage-it.nl
Call us: 069369494
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