Analytics Data science and IOT Engineer

2 weeks ago


Chennai, Tamil Nadu, India Hexaware Technologies Full time
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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