Gradient Cyber is a product-based US start-up that’s channelling its efforts towards keeping organizations safe.
We enable a proper understanding of risk gaps in people, processes, technologies and baseline where you are today, and what you work on tomorrow. Gradient Cyber is able to provide immediate visibility into prioritized events, alerts, and insights by corroborating the multitude of data, devices, networks, applications, and users in an automated, artificial intelligence manner that groups risks into situational reports.
The missing piece of the puzzle is a new colleague who will help us create and maintain a data-driven process that will lead to a fulminant expansion of our product.
This position is an organic mix of Data Engineering and Data Science and requires cross-team collaboration (Analytics & Development teams).
Applying statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights;
Developing and implementing key features based on data-driven decisions;
Understanding or learning cybersecurity domain problems and generate hypotheses;
Generating and delivering data-driven insights for product management;
Being in constant communication with team members and other meaningful parties and convey results efficiently and clearly;
Owing to your projects and using this autonomy to find creative and innovative ways of solving problems and delivering solutions.
Strong programming fundamentals;
2+ years of work experience on production projects and automation (C++/C#/Java/Python/R, etc.);
Big Plus: Big Data Technologies (Spark/Cassandra, etc.);
Big Plus: Search technologies (Lucene/ElasticSearch/SOLR, etc.);
A strong background in advanced mathematics, in particular in probability theory and statistics, data mining, and machine learning;
You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights;
Demonstrated data transformation and manipulation experience;
Nice to have: Networking fundamentals;
Be open to receiving constructive feedback;
Adaptable and open to change with strong collaboration skills;
Committed and responsible.
What we offer:
Flexible work schedule;
Young and sociable team.
We know we ask for a lot of technologies. We don't expect candidates to know our entire stack. We do ask for someone who wants to improve and learn something new every day.