Data Science Engineer
5d ago
source : Shine

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems.

Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel.

BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.,

Job Description :

  • As part of CX Adaptive Intelligence Apps team at Oracle we develop and deploy data science solutions as part of CX Industry Solutions product Oracle'
  • s existing products and services, and are seeking to grow the team with brilliant and diverse individuals with well-crafted technical ability.

    This is an exciting and challenging role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within an unusually talented, global community at Oracle.

    Experience Requirement :

    An advanced degree in Computer Science, Physics, Engineering, Mathematics or similar, and experience in AI, machine learning, analytics and / or predictive modeling.

    Excellent understanding of the mathematical theory behind common machine learning algorithms for solving classification and regression problems in supervised and unsupervised learning, together with practical experience with the relevant open source libraries.

    Consistency in developing, innovating, and applying advanced algorithms to address practical problems and in building new analytical products of commercial value.

    Practical experience in feature engineering, evaluation, selection and automation of such tasks, model interpretation and visualization.

    Robust knowledge and experience with statistical methods, in particular with the estimation of confidence intervals around parameter values and predicted quantities.

    Proficiency with several years experience (minimum 4-5 years) in more than one of Python, R, Java, C, C++, Scala, and robust Linux shell scripting, as well as in using query languages such as SQL and its adaptations.

    Experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies such as Map Reduce, Spark, HBase, etc.

    and associated schemas.

    Preferable to have domain expertise in industries such as online retail, digital marketing, financial services, insurance, health care, manufacturing, consumer goods, telecommunications.

    Excellent team player (essential)

    Good communication skills to interact with extended team in HQ

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