Data Scientist
Synthes GmbH
Date de publication :
20 août 2024Taux d'activité :
100%Type de contrat :
Durée indéterminée- Lieu de travail :Johnson
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
Major Duties & Responsibilities
- Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders.
- Write production-level and scalable code in Python or R programming languages
- Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc.
- Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes.
- Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA.
- Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.
- Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation.
- Automation of data pipelines and orchestration of workflows.
- Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.
- Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success.
- Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI.
- Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members.
- Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
- Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization.
- Understanding J&Js business as well as Global Finance function to better apply Data Science solutions.