F-Secure is all about cyber security, but being the best in the field requires a wide variety of different skillsets. In the Security Research and Technologies department, we work on things ranging from low-level kernel drivers to artificial intelligence. We are a diverse bunch, but we all have one thing in common - what we do is meaningful and impactful.
We are looking for the right person to join the team in our Artificial Intelligence Centre of Excellence (AICE). You'll be working on a unique set of data collected by our security software. Aim is to take the threat detection to the next level by adding artificial intelligence capabilities across F-Secure cyber security solutions. Not forgetting the many other interesting data-related problems, which need to be solved along the way.
The AICE team is comprised of experts in big data technologies, statistics, machine learning and data analysis, complemented with the strong foundation of cyber security inherent in the F-Secure DNA. Would you like to be the next Fellow to join the exceptional team?
If the answer is yes, absolutely – continue reading
Key responsibilities in this role:
Lead a team of highly skilled Data Scientists and help build the skills and capabilities of the team
Design and implement algorithms to solve complex problems
Work together with cyber security experts to find novel solutions to real life problems
Collaborate with stakeholders to deliver value to our customers
What we offer:
Possibility to put your analytical skills to real beneficial use - make a difference
Be a part of building the next level in cyber security utilizing data science - work as a part of a team dedicated to bringing artificial intelligence methods to practical use across the organization
Leadership role among like-minded and highly skilled experts and also learn from your colleagues
What we expect You to bring to the table:
Research or industry experience of artificial intelligence and machine learning
Leadership ability
Pragmatic mindset and ability to evolve ideas into practical implementations
A strong mathematical background and M.Sc. or Ph.D. in Statistics, Mathematics, Physics, Information Science, Computer Science or Data Science (or other relevant field)
Solid understanding of the usage, implementation and theory of relevant algorithms such as for example regression models, neural networks, clustering and classification
Experience with relevant programming languages, for example: Python, R, Scala, Java
Knowledge of data science tooling such as Scikit-learn, Pandas, PySpark, Tensorflow, PyTorch
Familiarity with AWS cloud solutions will be definitely a plus
And of course, we offer a competitive salary and benefits including health care, life insurance, remote working, company supported sports activities, in-house training, English classes and extra budget for professional development (ex. conferences) and many more things to keep our best asset – people - happy!
