Data Scientist

Sr. Data ScientistAbout The Company
Cybereason is on a mission to reverse the adversary advantage by empowering defenders with ingenuity and technology to end cyber attacks.

We have the technology, and now we are looking to expand our talent - Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensuring a customer-first approach is core to everything we do and never giving up on reversing the adversary advantage.

Nice to know

• Our Israeli site is located in Tel Aviv at Alon 1 tower, next to Hashalom train station
• Hybrid work model.
• Flexible working hours.
• 1 in the MITRE ATT&CK Evaluations: 100% prevention, Visibility, and real-time protection
  

You'll be part of our Data Science team
At Cybereason, as a data scientist, you will harness your skills to help millions of individuals and organizations fend off any malicious activity - practically defending the world from evil : )

Collaborate with brilliant security researchers, data scientists, and engineers to create new security capabilities for some of our key products. We are looking for a team player who is also independent, curious, and willing to share their perspective and push their ideas.

In This Position, You Will

• Lead end-to-end data science projects from research exploration to production.
• Engage with cutting-edge GenAI technology to develop innovative solutions and enhance our data science capabilities.
• Design and implement improvements of current ML-based products.
• Work with domain experts to help shape the right questions and use your analytical skills to answer them.
• Find new and innovative approaches to turn the huge data-stream created by our platform into additional security value.

We Are Looking For

• B.Sc in a quantitative field (Computer Science / Engineering / Mathematics or similar).
• Highly experienced with NLP.
• 7+ years of hands-on experience working as a data scientist.
• Experience with Large Language Models, including proficiency in prompt optimization and fine-tuning techniques.
• Highly experienced with classical ML solutions.
• High proficiency in Python.
• Experience with SQL.
• Strong communication and collaboration skills.

Preferred Candidate Will Have

• M.Sc in a quantitative field (Computer Science / Engineering / Mathematics or similar).
• Familiarity with GenAI and its applications in data science and cybersecurity.
• Experience with Cloud ML ecosystems, like Google AI Platform.
• Familiarity with the Cybersecurity domain.

More About Cybereason
Our culture and how we operate reflects in our shared values. Our #Defenders are individuals with diverse skill sets and backgrounds who are driven to innovate and scale with our growing organization. We are a team that strives to learn from each other, solve challenging problems, and work collaboratively toward our goal of reversing the adversary advantage.

Core Values

• Win As One: The power of an individual is less than the power of a team.
• Ever Evolving: Change keeps us at the forefront, so we encourage it.
• Daring: To achieve the impossible, we must dare to be different.
• Obsessed with Customers: We believe gaining our customers' trust is the most important part of what we do.
• Never Give Up: We are tenacious and resilient, and we never stop.
• UbU: We believe people can only unlock their full potential when they work somewhere that accepts who they are.

If these values resonate with you and our vision excites you, join us today and help us end cyber attacks from the endpoint to everywhere #Defenders

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Cybereason we are dedicated to building a diverse, inclusive, and authentic workplace (#uBu), so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.