AWS, Azure, Data Analytics, Data Lake, Data science techniques, Data Visualization, Data Warehousing, Database, ETL frameworks, Google Cloud Platform (GCP), Machine learning techniques, NoSQL, Python Programming, PyTorch, R Programming, SQL, TensorFlow
Siemens is a trailblazer in the EDA (Electronic Design Automation) industry providing critical technology within the semiconductor supply chain. Siemens EDA is a leader and committed to shaping the future of functional verification through data-driven innovation. We are seeking a seasoned and visionary Data Scientist to play a pivotal role in advancing our data initiatives, driving transformative insights, and leading cross-functional teams. If you are passionate about pushing the boundaries of data science and making a lasting impact, we invite you to join our dynamic team.
Responsibilities
Data Strategy and Leadership:
Advanced Analytics and Modeling:
Cross-Functional Collaboration:
Leadership and Mentorship:
Requirements
Additional Qualities
The salary range for this position is $163,600 to $261,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).
Siemens is a technology company focused on industry, infrastructure, mobility, and healthcare. Creating technologies for more resource-efficient factories and resilient supply chains to smarter buildings and grids, to cleaner, comfortable transportation and advanced healthcare, the company empowers customers to transform the industries that form the backbone of economies, transforming the everyday for billions of people.
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