work time definition methodologies (time study and MTM) and workplace ergonomics (Ergo MTM, EAWS, Ocra).
• Knowledge of Total Quality principles and related methodologies (QA Matrix, FMEA).
• Good knowledge of SAP, specifically for Master Data, Bills...
Monitor data accuracy and quality by verifying eCRF data against source documents
• Review and ensure proper reporting of adverse events (AEs/SAEs)
• Maintain investigator site files and manage essential regulatory documentation
• Prepare visit reports...
Imagine your customer is a leading industrial component manufacturer, specializing in top-notch manufacturing and transportation equipment. You have ambitious goals: to streamline processes, ensure top-quality certifications for your client’s...
Guest Feedback s Reputation Management - Monitor guest feedback across all platforms, including SevenRooms, Google and internal reporting - Respond to guest concerns in a timely, professional and solution-driven manner SevenRooms s Guest Data Management...
e non. Conosci i principali e sai quale serve per quale problema e costruisci soluzioni che si ripetono su più casi d'uso, non one-off. Data preparation e feature engineering (Pandas, NumPy) sono parte del mestiere, non un fastidio da delegare.
• Deep learning...
ensuring performance, security, and governance standards are met. You’ll collaborate closely with Cloud Data Architects, Data Scientists, and Data Engineers to deliver high-quality ML solutions. Responsibilities include: Designing and implementing tools...
governing business conduct, data privacy and medical devices (e.g., MDR).
(2) Oversee the planning and execution of product registration and certification procedures in Italy.
• Team Planning and Recruitment
(1) Formulate a team development plan aligned...
structured interviewing, market intelligence, and objective evaluation practices, Own recruiting performance metrics (time-to-hire, pipeline health, conversion rates, quality-of-hire) and use data to continuously refine approach, Contribute to employer...
e non. Conosci i principali e sai quale serve per quale problema e costruisci soluzioni che si ripetono su più casi d'uso, non one-off. Data preparation e feature engineering (Pandas, NumPy) sono parte del mestiere, non un fastidio da delegare.
• Deep learning...