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Associate-Machine Learning Model Delivery Services

8.00 to 11.00 Years   Mumbai City   13 Apr, 2021
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaOperations Management / Process Analysis
EmploymentTypeFull-time

Job Description

This individual will be a key contributor in all aspects of the ML MDS and must be willing to work in agile project framework. One of the key cornerstones of ML MDS personnel is the ability to adapt and learn quickly the business needs throughout the entire modeling implementation process. ML MDS team is responsible for a complete cradle-to-grave model implementation oversite. Responsibilities include developing business priorities, engaging modeling teams to meet business requirements, providing support to the modeling and data support to model development teams, oversee the devolvement and testing of modeling code (Java, Python, PySpark, Scala), conduct low-level User Acceptance Testing, establish SDQ rule parameters and aid in the creation and testing of a standardized series of post-production Tableau reports.Responsibilities:

  • Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Hadoop, etc.) in preparation for analytics and/or modeling
  • Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.
  • Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets.
  • Build and develop Proof-of-Concept machine learning outlier detection systems to run in Hadoop using Python/PySpark or JAVA/Scala.
  • Oversee and validate production processes as they are being developed and implemented.
Qualifications8+ years of experience doing hands-on data analysis
  • Technical expertise regarding data models, data analysis, and segmentation techniques
  • Experience with Business Intelligence and analytical tools such as Tableau, SAS, HUE, Hive, Impala, ClickFox, etc
  • Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, Oracle, Hadoop, etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to present fact-based recommendations in a clear, logical, and concise way; tell a story with data
  • Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred
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Keyskills :
user acceptance testingbig datadata modelsdata analysispost productionuser acceptancecomputer sciencemachine learninganalytical skillsmodel developmentcommercial modelsacceptance testing

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