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
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We are currently looking for a Senior 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).

an opportunity to work remotely in multidisciplinary teams on global projects that define the future – of technology, collaboration and learning.

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
              • 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

                              Benefits in eligible locations

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                              For you

                              • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                              • Individual sessions with professional psychologists and coaches
                              • Free corporate sports and wellness programs
                              • Stable income
                              • Paid time off
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                              For your comfortable work

                              • 100% remote work forever
                              • Free licensed software
                              • Possibility to work on your own device (BYOD)
                              • Stable workload
                              • Relocation opportunities
                              • Flexible engagement models
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                                For your growth

                                • Free trainings for technical and soft skills
                                • Access to LinkedIn Learning platform
                                • Language courses
                                • Access to internal and external e-Libraries
                                • Certification opportunities
                                • Skill advisory service

                                  40 hrs/week

                                  Hours per week

                                  12+ months

                                  Project length

                                  Belarus, Russia, Ukraine

                                  Locations eligible for the position