• Build and deploy analytics modules on various big data technology platforms
  • Select features, build and optimize classifiers using machine learning
  • Use state-of-the-art methods for data mining
  • Optimize data with third-party information
  • Enhance data collection procedures and include relevant and quality information to build analytics systems
  • Conduct ad-hoc analysis and share the results in a comprehensible manner
  • Create automated anomaly detection system and keep tracking its performance
  • Plan and develop analytic projects in response to business needs
  • Contribute to the development of data models and protocols for mining production databases
  • Learn innovative data mining architectures, modelling standards, reporting, and data analysis methodologies
  • Respond to and resolve data mining performance issues.
  • Monitor data mining system performance and implement efficiency improvements


  • 3-4 years of experience in data analytics
  • Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, and Decision Forests
  • Experience working with data science toolkits such as R, Weka, NumPy, and MatLab (Excellence in at least one of these is highly desirable)
  • Experience working with data visualization tools, such as D3.js and GGplot
  • Proficiency in using query languages such as SQL, Hive, and Apache Pig
  • Experience with NoSQL databases such as MongoDB, Cassandra, and HBase
  • Good knowledge of statistical modeling
  • Good scripting and programming skills
  • Research and develop statistical learning models for data analysis
  • Hands-on experience in Python, R, Java, and C++
  • Proficiency in using big data technologies such as Hadoop and Spark
  • Experience working with text analytics methods and/or tools
  • Good knowledge of document classification, speech analytics, topic modeling, sentiment analysis
  • Proficiency in risk analytics, marketing analytics, telecom analytics, retail analytics, e-commerce analytics, and so on

Type: Full Time Permanent
Location: Dubai UAE United Arab Emirates
Qualification: B.E B.Tech M.Tech MCA Ph.D Tableau Desktop Certified
Joining Date: Immediate
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