FAQs
What type of position is being offered?
The position is a Data Science Co-op in Cybersecurity for Winter 2025.
What educational background is required for this role?
Candidates should be currently pursuing a PhD or Master's in Computer Science or Information Systems, with a focus on cybersecurity.
What technical skills are necessary for this job?
Strong analytical skills, proficiency in Python, experience with large datasets, and familiarity with tools like Jupyter Notebooks, TensorFlow, Scikit-learn, NumPy, and Pandas are required.
Is experience with Generative AI important for this position?
Yes, a conceptual understanding of Generative AI and hands-on experience with developing, fine-tuning, and deploying open-source models is important.
What will the role involve?
The role includes researching and analyzing unstructured industrial data for cybersecurity applications, developing analytical playbooks, exploring Generative AI models, supporting proof of concept building, and documenting research findings.
Can you describe the work environment?
Siemens offers a flexible work environment with options for telecommuting and flexible hours, promoting a healthy work-life balance.
What professional development opportunities are available?
Siemens provides opportunities for career advancement and mentorship programs both locally and globally.
Does Siemens value diversity in the workplace?
Yes, Siemens is committed to creating a diverse environment and values inclusivity.
What kind of projects will I work on?
You will be involved in exciting and innovative projects aimed at solving significant problems in the field of cybersecurity using data science techniques.
How can I apply for this co-op position?
Interested candidates can apply through the Siemens Canada website, following the application procedures outlined there.