Our Data Science 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 problems
- Be responsible for using analytic techniques like Machine learning, Natural Language Processing and advanced data visualizations to improve Asurion’s customers’ experiences
- Experiment with latest generative LLMs to build next generative applications and boost existing ones
- Design and iterate on GenAI prompts based on performance metrics and user feedback to ensure high-quality outputs and enhance overall system performance
- Leverage deep understanding of modern machine learning techniques and their mathematical underpinning to regularly invent new and novel approaches to solve problems
- Deliver end-to-end reliable and scalable AI features in production
- Provide Data Science updates to senior executive audience
- Work with stakeholders to identify new Machine Learning/AI opportunities
- Define platform and operation improvement opportunities, formulate data science problems
- Develop prototypes for new data product ideas and build data pipelines/flask apps for deployment
- Drive 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 Models
- Your drive to keep up with the ever-changing AI landscape and release of new LLMs
- The 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 approaches
- Self-driven and able to ask and tackle the most important analytical questions with a view on driving product impact
- Ability 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 manner
- You’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 fields
- 1-2 years of work experience in AI/ML modeling, experience in building Gen AI based products is a plus
- Solid 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 models
- Knowledge 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 experience
- Solid knowledge in Python programming gained through academic coursework or any amount of internship/work experience.