Analytics Data science and IOT Engineer

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