AI Analytics Engineer

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Build data-driven AI models that help analyse large datasets to find trends, predict future behavior, or provide insights to guide business decisions

Duties And Responsibilities

Data Analytics and Modeling:

• Builds and maintains AI/ML models to predict key business outcomes (ie churn, upsell/x-sell, demand)
• Performs AI/ML techniques to uncover insights from structured to unstructured data and transforming into a compelling story/narrative that answers key business questions (at times even before its asked)
• Performs data cleaning, pre-processing and feature engineering to prepare datasets for AI/ML model training, creating features that improve the predictive power of the model.
• Evaluate models for accuracy, precision, recall, F1 to ensure they meets business objectives and continuously refine models based on feedback and performance to improve prediction quality and business outcomes
• Leverages GenAI for data augmentation, NLP-driven insights, automated reporting/insighting and conversational analytics
• Proactively collaborate with business stakeholders to ensure that models are aligned business objectives and drive business performance
• Identify model fine-tuning needs; Measure ROI from models developed
• Collaborate with AI software engineers to integrate models into customer-facing platforms
  
  
  

Campaign Expertise

• Translate model into results. Draws out and communicates useful insights, actionable interpretations, alternative approaches and solutions.
• Identify opportunities for the application of customer analytics techniques for the business, particularly for credit scoring.
• Use learnings from models to prioritize and sequence initiatives; Collaborate with business sponsors and different stakeholders to operationalize analytic findings.
  
  
  

Knowledge Transfer and Collaboration

• Support internal stakeholders in use of data and various analytical tools to generate and communicate insights
• Provides training, demonstration, documentation and other support to drive the change management process and expand the use of analytics throughout the organization
• Support the drive for change management process to ensure the analytical developments are adopted by relevant internal teams.
• Develop relationships with external data and analytics partners and interact as needed.
• Keep updated with new data science techniques and be extremely knowledgeable of industry standards and trends.
  
  
  

Hiring Requirements

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
• Experience: Minimum of 3-5 years of hands-on experience in AI/ML, with a focus on developing models and solutions for productivity, customer experience, and/or telecom networks.
  
  
  

Equal Opportunity Employer

Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.