Data Scientist (Security Project) (offline)

If you feel passionate about making the world of networks and edge computing safer, join our team and get the chance to work with the latest innovations and technologies in the field. You’ll be employing the smartest SOTA approaches in DS/ML/RL to detect and prevent threats and strengthen cybersecurity. For security-driven tasks and challenges that will keep you engaged and motivated, read the description below.

Responsibilities

- Explore, train, and implement challenging state-of-the-art ML/RL algorithms to detect cybersecurity threats and anomalies in real-time.
- Test and provide an analytics-based model for Quality Assurance.
- Prototype quickly and implement new ideas with the help of ML and RL.
- Convert proven, useful prototypes into well-documented and production-ready code.
- Optimize Python codebase for production models.

Requirements

- At least 5+ years of experience in Machine Learning algorithms research and development.
- Proven practical experience in building and training Unsupervised, Semi-Supervised, and Data Clustering models.
- Practical experience in developing Tabular Data and Time Series models.
- Deep knowledge of statistics and linear algebra.
- Engineering background as you’ll be actively using Python.
- Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions with the help of ML and RL algorithms.

Would be a big plus

- Practical experience in developing ML algorithms for detecting anomalies and cybersecurity threats.
- Practical knowledge and understanding of Reinforcement Learning in cybersecurity.
- Rust, C++.
- Experience in developing solutions for IoT and Edge and network security.

We offer

- Professional development in Tabular Data, Time Series, RL, and Security Patterns Detection and Prevention.
- Participation in the full cycle of product development, having a real opportunity to improve it.
- No legacy code.
- Professional growth in a multicultural and international team.
- Competitive salary and comprehensive benefits package.
- COVID-19 Response. All of our employees are currently working from home. We’re looking forward to seeing everyone in-office if you wish to work there. We do our best to keep a safe environment, with all health and cleanness measures preserved.

About Scalarr

Scalarr is an international mobile antifraud company founded in 2016. With our Machine Learning based anti-fraud solution we help mobile developers make data-driven decisions for ensuring the success of their user acquisition strategies and sustainable company’ growth. We combine business experience with expertise in large-scale data analysis, visualization, and advanced software engineering know-how to combat even the most sophisticated fraud.

We are proud to work with the industry’s leaders, including Pixonic, Huuuge Games, JOOM, GOODGAME Studios, Aviasales, and many others.

Scalarr won bronze for “Tech Start-up of the Year” in the 2018 International Business Awards® due to our innovative product and success in the market.

We are looking for like-minded professionals who are able to look far beyond the horizon.

WHAT IS IN IT FOR YOU?

Fascinating projects:
● Work with Machine Learning and Neural Networks;
● No boring legacy systems;
● Opportunity to influence the product’s quality.

Productive work environment
● Convenient office location;
● Fast-paced startup atmosphere;
● International team of experienced professionals;
● Flat corporate hierarchy.

Work terms
● Long-term employment;
● 20 workdays of paid time off + 7 Sick leaves;
● Flexible work hours.

Visit scalarr.io/about-us/careers for more details.

We’ll be happy to have YOU join our team!

Company website:
scalarr.io