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    Analytics Data science and IOT Engineer - Chennai, India - Hexaware Technologies

    Hexaware Technologies
    Hexaware Technologies Chennai, India

    2 weeks ago

    hexaware technologies background
    Full time
    Description
    Description
    Responsibilities

    • Understanding the requirement and ability to relate to statistical algorithms
    • Knowing the Acceptance Criteria and ways to achieve the same
    • Complete understanding of Business Processes and data
    • Performing EDA (Exploratory Data Analysis) cleansing, data preprocessing data munging and create training data sets
    • Using the right Statistical models and other statistical methods
    • Deploying the statistical model using the technology of customers' preference
    • Building Data Pipeline , Machine Learning Pipeline and Monitoring activities are set for Continuous Integration , Continuous Development and Continuous Testing
    • Investigating Statistical Model & provide resolution when there is any data drift and performance issues The Role offers
    • Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development
    • To re-imagine, redesign, and apply technology to add value to the business and operations
    • Multiple opportunity to showcase candidates' strong analytical skills and problem-solving ability
    • Ways to grow as an individual and expand the domain knowledge to be able to add value Essential Skills

    Statistical analysis:
    Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.

    • Machine learning & Deep Learning : Hands on experience
    • Experience with Natural Language Processing techniques
    • Hands-on experience with SQL
    • Hands on in statistical software packages (., R, Python, SAS or SPSS)
    • At least one cloud platform experience ( Eg. Azure , AWS or GCP )
    • Exposure to Natural Language Generation

    Interpersonal skills:
    Communicate across a diverse audience across all levels of an organization. Essential Qualification

    • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Statistics or other quantitative field is preferred
    • Preferred PHD in Data science/Statistics
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