Remote Senior Data Analyst position | EPAM Anywhere

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Senior Data Analyst for a Global Information Security Company

Senior Data Analyst for a Global Information Security Company 40 hrs/week, 12+ months


We are currently looking for a Senior Data Analyst for a global information security company to join our team.


The customer is a global cloud-based information security company that provides Internet security, web security, next generation firewalls, sandboxing, SSL inspection, antivirus, vulnerability management and granular control of user activity in cloud computing, mobile and Internet of things environments. It provides automated threat forensics and dynamic malware protection against advanced cyber threats, such as advanced persistent threats and spear phishing. Moreover, it provides a cloud-based approach to security as a service.

The main pool of tasks is associated with development of network anomaly detection feature for customer's product (corporate network security solution).

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

This position is a part of the new innovative program EPAM Anywhere, which gives an opportunity to work remotely in multidisciplinary teams on global projects that define the future – of technology, collaboration and learning. Join us and take the best of two worlds: full-time employment and remote work.


  • Build and deploy models to monitor hundreds of metric time series across millions of users
    • Develop models to predict the expected value of a set of time series metrics based on both time and location
      • Design and build machine learning models to generate smart and actionable alerts by filtering and aggregating
        • Investigate anomalies in metrics and summarize the findings to fellow engineers and company leadership
          • Collaborate with engineering teams working on data and analytics infrastructure


            • MS degree in statistics, operations research, machine-learning
              • 4+ years of experience doing statistical modeling
                • Familiarity with implementing statistical models in production-grade code
                  • Working knowledge of modeling platforms like TensorFlow, SAS, R, MATLAB
                    • Experience dealing with large datasets
                      • Curiosity and interest in time-series anomaly detection

                        Nice to have

                        • 4+ years of experience working with cross-functional teams
                          • Experience with distributed computing like Spark
                            • Experience developing ETL pipelines

                              We offer

                              • Competitive compensation depending on experience and skills
                                • Work on enterprise-level projects on a long-term basis
                                  • Full-time remote work
                                    • Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
                                      • Community of 38,000+ industry's top professionals
                                        Big Data

                                        40 hrs/week

                                        Hours per week

                                        12+ months

                                        Project length

                                        Armenia, Belarus, Georgia, Italy, Poland, Russia, Ukraine, Uzbekistan

                                        Locations eligible for the position