Data Scientist

At Roche, we are looking for a highly motivated and experienced Data Scientist to join our team. Our ideal candidate will have the technical skills to analyze and interpret data, as well as the communication and presentation skills to effectively share insights. You will be responsible for developing and deploying advanced analytics solutions to discover actionable outcomes from our data.To be successful in this role, you should have a strong background in data analysis, with experience working with big data, machine learning, and statistical modeling. You should also be a problem-solver with the ability to communicate effectively with stakeholders to ensure the successful delivery of data-driven insights.We are looking for a passionate, innovative, and technically-skilled individual who is excited to join our organization and help us take our data-driven initiatives to the next level. If you have the qualifications we seek and believe you can make a positive contribution to our team, we look forward to hearing from you.

Responsibilities:

1. Analyze and interpret data using advanced analytics solutions.
2. Develop and deploy machine learning, big data, and statistical modeling solutions.
3. Present and communicate data-driven insights to stakeholders.
4. Identify actionable outcomes from data analysis.
5. Collaborate with other team members to develop data-driven initiatives.
6. Monitor and evaluate data-driven initiatives to assess their effectiveness.
7. Keep up to date with the latest trends in data science and analytics.
8. Develop data models to optimize the performance of data-driven initiatives.
9. Create reports to document data-driven insights and findings.

According to JobzMall, the average salary range for a Data Scientist in Vienna, Austria is €50,000 to €100,000. This range can vary depending on factors such as experience, education, and the specific employer.

Roche Holding AG operates as a research healthcare company. It operates through the diagnostics and pharmaceuticals segments. The pharmaceutical segment refers to development of medicines in the field of oncology, immunology, ophthalmology, infectious diseases and neuroscience. The diagnostic segment refers to diagnosis of diseases through an in vitro diagnostics process.