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Data Scientist

1.00 to 4.00 Years   Bangalore   22 Apr, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.As a member of the software engineering division, you will perform detailed design based on provided high level design specifications. Assist in system planning, scheduling and implementation. Build enhancements (including new product features) and resolve bugs. Build and execute unit test and unit test plans. Review integration and regression test plans created by QA. Interact with QA and porting engineering about problems in the code.Duties and tasks are standard with some variation; displays understanding of roles, processes and procedures. Performs moderately complex problem solving with assistance and guidance in understanding and applying company policies and processes. BS degree or equivalent experience relevant to functional area. 1 year of software engineering or related experience., We are seeking to grow the data science capabilities with brilliant and diverse individuals with exceptional technical ability. This is a challenging role that will stretch your knowledge and curiosity, while at the same time is a great opportunity to learn new skills and work within an unusually talented, global community at OracleAs a Data Scientist, you will be responsible for developing various Machine Learning and AI models for OAL. You must have strong experience using a variety of data mining and data analysis methods and tools using/creating algorithms and creating/running simulations. Must be comfortable working in a fast-paced environment and have a proven ability to deliver results. You will be a team player who self-motivated and has good communication skills in English. Key Responsibilities: Working experience in data collection, aggregation, feature engineering, visualization, and productionization and support. Work alongside software developers and software engineers to develop and test Machine and Deep Learning models. Work effectively with global teams located in multiple geographical locations.Qualifications:

  • An advanced degree in Computer Science, Statistics, Engineering, Mathematics, or another relevant quantitative field.
  • 1+ years of proven track record and experience of manipulating data sets and building statistical models.
  • Experience using Machine Learning languages, preferably Python and Java, to manipulate data and draw insights from large data sets.
  • Hands-on experience with big data processing engines like Spark, Kafka is a plus.
  • Proficiency in using query languages such as SQL, and database technologies.
  • Working experience and understanding of data warehousing, data integration, visualization, and data mining.
  • Strong drive to learn and master new technologies and techniques.

Keyskills :
DataScientistdatacollectionKafkaSQLImodelaggregationfeatureengineeringSpark

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