Karkidi
Data Scientist (12 months contract)
Karkidi, Palo Alto, California, United States, 94306
We are an expanding team that helps HP use AI/ML technology, including both traditional ML methods (forecasting algorithms, recommender systems) and Generative AI and large language models. We work with business units mainly from the Commercial Organization to develop and run solutions for internal use.
Responsibilities
Demonstrates ability to pick a ML technique that best suits the business problem. Defines and implements models to uncover patterns and predictions creating business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Requirements:
Typically, 2-4 years of relevant work experience. Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent. Experience using statistics, mathematics, algorithms, and programming languages to solve business problems. Experience with NLP, Large Language Models, LLM prompt engineering, vector databases, Retrieval Augmented Generation (RAG), and search engines. Ability to define and create complex models to pull valuable insights, predictions, and innovation from data. Ability to effectively communicate data insights and negotiate options at senior management levels. Strong analytical and problem-solving skills. Proficient in Python. Excellent written and verbal communication skills; mastery in English. Contract
12 month contract. Extension to permanent position is possible but not guaranteed. 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.
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Demonstrates ability to pick a ML technique that best suits the business problem. Defines and implements models to uncover patterns and predictions creating business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Requirements:
Typically, 2-4 years of relevant work experience. Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent. Experience using statistics, mathematics, algorithms, and programming languages to solve business problems. Experience with NLP, Large Language Models, LLM prompt engineering, vector databases, Retrieval Augmented Generation (RAG), and search engines. Ability to define and create complex models to pull valuable insights, predictions, and innovation from data. Ability to effectively communicate data insights and negotiate options at senior management levels. Strong analytical and problem-solving skills. Proficient in Python. Excellent written and verbal communication skills; mastery in English. Contract
12 month contract. Extension to permanent position is possible but not guaranteed. 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.
#J-18808-Ljbffr