The best security incidents are the ones that are detected and prevented in advance. Skyhawk Security’s security platform finds exactly those incidents at scale. Our unique solutions allow us to investigate our customers' cloud infrastructures and alert for actual incidents in near real-time, so they can be addressed before a full-blown breach occurs.  

We accomplish this with advanced AI technologies like Generative AI, Deep Learning, Explainable AI, Unsupervised Learning and Anomaly Detection, and the Snorkel framework. We also leverage cutting-edge backend technologies such as Flink, Spark, Airflow, Java, TypeScript, and Kubernetes. We secure clouds - AWS, GCP, Azure, and more to come!! 

But our key to victory is having the best people. This is where you come in. 

We, at Skyhawk Security are looking for data scientists who can take charge of requirements and take them all the way to production, end-to-end. As no one can know it all, whatever skill set you are missing, we have our leadership to teach you and taking your career forward. 

Who is Skyhawk Security?  

• 35+ person company 
• Backed by Tiger Global 
• Flexible in office hours, just Monday – Wednesday 
• Conveniently located at the Bursa in Ramat Gan. (Just a short walk from the train station) 

Your day-to-day

As a senior data scientist, you will work closely with other data scientists, cyber researchers, backend developers, and DevOps. Together we will build, design, develop, and optimize the large-scale architecture of our cloud-based security service. 

• Leading the next generation of cloud security threat detection and remediation products, driven by cutting-edge AI and Machine Learning technologies such as Generative AI, Deep Learning, Explainable AI, Unsupervised Learning and Anomaly Detection, and the Snorkel framework.
• Research and deliver software-based and product-oriented data science solutions.
• Write new methods and algorithms for cyber-criminal activity detection. 
• Your solution would be running on big data, high-scale and asynchronous platforms, requiring processing of tens of terabytes a day. 
• You would be utilizing cutting-edge technologies such as Flink, Spark, Airflow, Kubernetes, Redshift, AWS Athena, Kinesis Streams, SQL and No-SQL databases (Elasticsearch, Neo4j), Apache Iceberg, DBT, SNS/SQS and others. 
• Relax when you need to stay sharp 
• You would be coding in Python 
• You would oversee the team’s ongoing projects
• You will lead data science and data engineering-related infrastructure tasks

What we expect of you

• Experience with CI/CD platforms
• Experience with developing research products with a TDD mindset
• Creativity and adaptability to the ever-changing AI landscape, particularly in the cyber domain.
• A can-do attitude, and don’t be afraid to ask for help if you need it. 
• At least 3-4 years of hands-on data science experience, preferably in productizing involved data science projects. 
• Team player, hard worker, quick learner, independent, and loves challenges 
• A degree in a relevant scientific field or engineering (computer science, software engineering, statistics)

We would be lucky if you have

• An inventive, determined, and proactive mindset
• Great communication and training skills
• Experience in data engineering or backend
• A scientific publication and/or patents in AI or cyber

Our Culture

As a company grows, it needs to have a guiding light so we can be better both as people and as employees. Our employees from various departments have sat down to discuss and agree on the values we wish to have and the values we wish to be.  

• Thinking without a Box – providing the most cutting-edge and fitting solutions pushes us to think even further than outside the box. 
• Passion for Excellence – we each cannot reach excellence without something internal within us, not without passion. 
• Guided by Purpose – to win and to achieve our goals, we must first set them correctly. We carefully choose what to do with the scalpel of purpose. 
• Driven by Care - caring is not only required to get the best work done but caring is also required to work with the best people. We care deeply about both. 
• Embracing Openness – we accept others and their perspectives as they are, without judgment and with openness. We first actively listen to what our surroundings have to say. 
• Working together to figure out what’s important to us is an example of the culture we wish to work in. Where everyone is a part of the process, and everyone can be heard.