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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.
24 июня 2019

Data Analyst (вакансия неактивна)


Необходимые навыки

• Experience in data and business analysis
• Advanced Excel skills
• Basic knowledge of mathematical statics
• Basic knowledge of SQL
• Result-oriented mindset
• Motivation to self-development

Будет плюсом

• Experience in SaaS
• Experience in digital, ad tech, mobile
• Experience in anti-fraud, cyber-security products


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 work days of paid time off
• Flexible work hours


• Expert labeling, dataset analysis, fraud detection in the clients’ data
• Finding and validating fraud patterns
• Creating and debugging machine learning models and neural network algorithms
• Collaborating with the development team on optimization and automatization of business processes
• Provision of technical integration with tracking providers and clients

О проекте

Scalarr is looking for a Data Analyst with a deep passion for data to join our team in Kharkiv, Ukraine. As a Data Analyst, you’ll be responsible for finding and validating fraud patterns in the client’s data, provisioning of technical integration with tracking providers and clients, while working with state-of-the-art machine learning models and neural network algorithms.

At Scalarr, we’re solving one of the core problems faced by every mobile app developer — app install fraud, and for candidates, we offer a wide range of opportunities for different skill levels and experiences. Join our team and help us build the most accurate and reliable solution for detecting fraud using the latest technologies!