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Senior Data Scientist

4.00 to 9.00 Years   Bangalore   14 Oct, 2020
Infoblox
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaR&D / Product Design,DBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Responsibilities:

  • Apply data mining and machine learning techniques for a variety of modeling problems involving DNS and networking data
  • Build complex statistical models that learn from and scale to petabytes of data
  • Develop deployment architecture and scripts for automated system deployment in AWS
  • Create software to extract, clean and manipulate large datasets both structured and unstructured
  • Construct data staging layers and fast real-time systems to feed machine learning algorithms
  • Work with architects and product managers to develop efficient and reliable algorithms
  • Work collaboratively across multi-disciplinary teams throughout the company as a subject matter expert in analytics with a focus on security solutions and implementation

Requirements:

  • 6 years of experience with 2 years in a practical Machine Learning experience with demonstrated experience in feature engineering and data analysis
  • 4 years of experience in analytic design and implementation
  • 4 years experience in Big Data with Spark/Hadoop tech stack
  • 4 years in the hands-on analytic environment, with the ability to articulate analytic needs and translate them into research and development requirements
  • Demonstrated ability to quickly learn new tools and paradigms to deploy cutting-edge solutions.
  • Expertise in automating and deploying models in production systems
  • Familiar with best practices for engineering in an enterprise environment
  • Proficient in Python, with specific expertise in Python s data science and machine learning libraries
  • Strong written and spoken communication skills
  • Experience with Amazon Web Services
  • Experience with one or more of, Keras, and TensorFlow
  • Proficiency in Java or Scala, particularly in a big data spark/hadoop environment
  • Expertise in streaming analytics frameworks such as Apache Spark, Storm, MOA and WekA
  • Knowledge of Hadoop architecture, HDFS, Map-Reduce Algorithms and Elastic Search
  • Network security background, familiarity with botnets, DDoS, and other threat types

Education:

  • Masters or Ph.D. in Computer Science, Mathematics, CE, EE or related
,

Keyskills :
apache sparkdata analysissystem deploymentdata miningnetwork securityweb servicesoracle dbaamazon web servicesmachine learningalgorithmsdata sciencecomputer scienceanalyticsbig datacommunication skillssqlelastic searchcommercial models

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