Why Asurion

At Asurion, we provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. We deliver easy, instant access to a community of tech experts, to solve any technology issue you could ever have with almost any device you’ll ever own. Our Data Science & AI team is heavily focused on empowering our agents in providing best in class service but also building generative AI solutions to increase our reach and cover many more channels.

About the team:

Our Data Science & AI team sits at the heart of innovation, driving impactful solutions across customer experience, operational efficiency, and business growth. We are a diverse group of data scientists, machine learning engineers, and technical leaders working on high-impact projects, including Generative AI, predictive modeling, conversational AI, and multimodal data applications.

We collaborate closely with Product, Engineering, Analytics, and Business stakeholders to solve complex problems using advanced machine learning and statistical modeling. Our team values curiosity, ownership, and a strong bias for action. We foster a supportive environment where team members grow through mentorship, innovation, and a culture of continuous learning.

What you’ll be doing:

Use business acumen and analytical skills to identify opportunities, estimate potential, layout strategy roadmaps to solve complex business problemsBe responsible for using analytic techniques like Machine learning, Natural Language Processing and advanced data visualizations to improve Asurion’s customers’ experiencesExperiment with latest generative LLMs to build next generative applications and boost existing onesDesign and iterate on GenAI prompts based on performance metrics and user feedback to ensure high-quality outputs and enhance overall system performanceLeverage deep understanding of modern machine learning techniques and their mathematical underpinning to regularly invent new and novel approaches to solve problemsDeliver end-to-end reliable and scalable AI features in productionProvide Data Science updates to senior executive audienceWork with stakeholders to identify new Machine Learning/AI opportunitiesDefine platform and operation improvement opportunities, formulate data science problemsDevelop prototypes for new data product ideas and build data pipelines/flask apps for deploymentDrive a Minimum Viable Product (MVP) test-and-learn approach and push to learn fast. Work in an iterative manner from framing problems, to building prototypes, to deploying end-to-end and reliable production-grade solutions Help defining and monitoring the right Key Performance Indicators (KPIs) to track and deliver on critical objectives and key results

What you'll bring to the team:

Your technical excellence in field of ML & AI, specifically in latest Large Language ModelsYour drive to keep up with the ever-changing AI landscape and release of new LLMsThe ability to root cause, define, and solve complex problems in ambiguous situations. Innate curiosity and product mindset helping you articulate new ideas as well as novel technical approachesSelf-driven and able to ask and tackle the most important analytical questions with a view on driving product impactAbility to work and collaborate with different functions of the organization, from operations teammates to product managers and engineers Excellent communication (written and oral) and presentation skills, including creating and sharing complex ideas to peers. Ability to communicate complex quantitative analysis in a clear, precise, and actionable mannerYou’re a result-driven thinker and doer. You offer out-of-the-box ideas and aren’t afraid to roll up  your sleeves to get the job done Respect for all people, an open mind, and an open heart. We pride ourselves on building inclusive environments. After all, it’s the diversity of thought that builds great products! 

Experience and education:

Requires a Master’s degree in analytics, computer science, electrical engineering, computer engineering, or related advanced analytical & optimization fieldsSolid Knowledge in Deep Learning and/or Machine Learning gained through academic coursework or any amount of internship/work experience.Solid experience implementing and fine-tuning Generative AI large foundation models (LLMs), with a strong understanding of NLP techniques and frameworks such as embeddings, GPT, or Transformer modelsKnowledge of cloud computing and AI deployment (AWS, Google Cloud)Knowledge in Statistics, optimization theoretical concepts and/or optimization problem formulation gained through academic coursework or any amount of internship/work experienceSolid knowledge in Python programming gained through academic coursework or any amount of internship/work experience.