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Lead Data Analyst for a Global Information Security Company

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

DESCRIPTION


We are currently looking for a Lead Data Analyst for a Global Information Security Company to join our team.

ABOUT THE CUSTOMER


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.

Responsibilities

  • 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

            Requirements

            • MS degree in statistics, operations research, machine-learning
              • 5+ years of experience doing statistical modeling
                • Proficiency in implementing statistical models in production-grade code
                  • Profound working knowledge of modeling platforms like TensorFlow, SAS, R, MATLAB
                    • Solid experience dealing with large datasets
                      • Curiosity and interest in time-series anomaly detection
                        • 1+ year of relevant leadership experience

                          Nice to have

                          • 5+ years of experience working with cross-functional teams
                            • Profound experience with distributed computing like Spark
                              • Solid experience developing ETL pipelines

                                We offer

                                • Competitive compensation depending on experience and skills
                                  • Work in enterprise-level projects on a long-term basis
                                    • Full-time remote work (you can work from anywhere you are)
                                      • Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library)
                                        • Community of 36,700+ industry’s top professionals
                                          Big Data

                                          40 hrs/week

                                          Hours per week

                                          12+ months

                                          Project length

                                          Belarus, Brazil, Chile, Colombia, India, Russia, Ukraine

                                          Locations eligible for the position