Siemens is hiring for Software Engineer

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Post-graduate degree in Biostatistics/Applied Statistics/Applied Mathematics/Engineering/Sciences with 1 to 2 years of relevant experience
Strong theoretical and practical knowledge in statistics, mathematics and machine learning
Demonstrated ability in the application of statistical analysis on large-scale data
Ability to write scripts in Python, R, Matlab or similar high-level programming languages is required
Hands-on experience with deep learning frameworks such as Keras, TensorFlow or PyTorch is a plus
Solid communication and interpersonal skills
Creative, self-directed, and a team player with an ability to take ownership and accountability of assigned tasks

Conduct research, design and implement algorithms using statistical methodology, machine learning for analysis of diagnostics data Implement algorithms in suitable high-level programming language
Collaborate with internal and external partners to translate concepts and algorithms into implementable practical solutions of business relevance
Advance the state-of-the-art including generating patents and publications in top journals and conferences
Contribute to the group’s efforts in decisioning sciences in the areas of integrated diagnostics and clinical decision support tools