Planning and organization, Python Programming, Azure, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), Data Analytics, Generative AI, Effective communication skills, Large Language Models - LLMs, Noise modeling
We are a growing centralized team helping HP take advantage of new AI/ML technology, especially around Generative AI and large language models. We engage with business units to advise and prototype solutions, and we develop and run software applications for internal use.
The Role
As a Data Scientist with a focus on Generative AI you will work on multiple engagements across HP involving large language models and other new Generative AI capabilities. Beyond our team, you will work with business stakeholders and developers from other business units. Your primary focus and mindset is to help deliver business solutions to our (mostly internal) customers. You are expected to stay up to date on important new Gen AI papers and releases, but note that this is not an AI research role.
Skills and Profile
Education and Length of Experience
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
The Hewlett-Packard Company, commonly shortened to Hewlett-Packard or HP, was an American multinational information technology company headquartered in Palo Alto, California, that developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses (SMBs) and large enterprises.