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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.
23 августа 2019

Data Science / ML Engineer

Киев, Харьков

Необходимые навыки

• Analytical thinking and exploratory state of mind
• Knowledge of Statistics, and Linear Algebra
• Good understanding of Machine Learning concepts and algorithms
• Relevant work experience with ML tools Scikit-learn, Pandas, Keras, Tensorflow
• Good experience in Python (or Scala)
• Proficiency in SQL
• Ability to process and analyze large datasets, create and check hypotheses and visualize data

Будет плюсом

• Familiarity with time series analysis and ARIMA/VARIMA, RNN/LSTM
• Experience with huge data streaming
• Familiarity with Spark ML/PySpark, stack Hadoop

Предлагаем

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 hour

Обязанности

• Data analysis and data processing
• Preparation of different hypotheses
• Training different ML models to validate hypotheses and improve the accuracy of the Fraud detection algorithms
• Data visualization

О проекте

Our team is currently looking for a talented Data Scientist to join our international team in Kyiv or Kharkiv, Ukraine. The Data Scientist will be responsible for producing innovative solutions by applying advanced data analytics from complex and high-dimensional datasets to make our anti-fraud solution even better.

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!

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