Asurion is seeking a Principal Data Scientist to join our Data Science team. An individual in this role will be designing, developing, implementing, and fine-tuning Large Language Models to build one-of-a-kind autonomous sales agents in the context of tech support. The candidate will work on the cutting-edge of LLMs as we aim to leverage them for sales where the tasks are better defined and narrow, but margin of error is very low. Leveraging AI to be offer a highly targeted and personalized sales experience while setting state-of-the-art standards for compliance and hallucinations. They should be well versed on modern massive neural language model architectures, including BERT-like and GPT/autoregressive-like LLM's, neural language generation, AI agents, few-shot multitask learning etc. The candidate should also know the limitations of LLMs and how to design solutions and services keeping those in mind. Gather and analyze large volumes of unstructured, text data, evaluates scenarios to make predictions on future outcomes and supports decision making. An ideal candidate would have excellent communication (written and oral) and presentation skills, including creating and sharing complex ideas to peers, cross-functional partners and stakeholders. The candidate will also offer technical mentorship and guidance to junior data scientists.

Role and Responsibilities:

Utilize Natural Language Processing to analyze speech and text data, build chatbot and expert systemsImplement existing Large Language Models such as GPT, LLaMA, etcRefine Large Language Models via prompt engineering, Agentic frameworks, fine-tuning, reinforcement learning, or transfer learningLead and mentor a team of scientists, driving high-impact technical initiatives with broad scope and visibilityDiscover and formulate business problems and create data science solutionsDevelop prototypes for new data product ideasDesign and deploy complex, optimized and large-scale machine learning algorithms and generative models to improve Asurion’s wireless, connected home, and appliance customers’ experiencesAnalyze and interpret the results of product experimentsWork closely with product managers to identify and answer important product questions that help improve outcomesCommunicate findings to product managers and development groupsDrive the collection of new data and the refinement of existing dataRegularly invents new and novel approaches to problems; takes initiative and breaks down barriers to solve problems; recognized within team as the source of solutions
 

Qualifications:

Master's or PhD preferably in Machine Learning role with at least 4+ years hands-on ML experience2+ years of experience leading a team of scientists or engineers, with a strong track record of recruiting and/or mentoring junior team membersSpecialized practical experience in Generative AIExpert in Natural Language Processing tasksApplied experience in deploying NLP based solutions, including Gen AI, at scale in a cloud environment like AWS, GCP or Azure.Prior experience in applying machine learning for customer experience use casesComfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sourcesComfortable in using advanced statistical data modeling techniques and toolsExperience using Python and working with large scale systemsKnowledge of data processing on Hadoop programming environments (e.g. Spark/Hive)Familiar with optimization techniques and underlying machine learning algorithms conceptsSolid statistical knowledge; familiarity with hypothesis testing, experimental design and time seriesFamiliarity with Linux/Unix/Shell environmentsSelf-driven and able to ask and tackle the most important analytical questions with a view on driving product impactA strong passion for empirical research and for answering hard questions with dataResult-driven and focused self-starters, great communicators that follow through on every initiativeLove the responsibility of being individually empoweredAbility to communicate complex quantitative analysis in a clear, precise, and actionable manner