Data Science / ML Engineer

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.

Responsibilities:

• 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

Requirements:

• 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

What would be a big plus:

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

About the company:

Scalarr is an international mobile anti-fraud 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.

What we offer:

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

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

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