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Bioz is a Nobel Laureate backed Silicon Valley software startup company that has developed the world’s first citation-based semantic search engine for life science experimentation. The Bioz platform's patented AI technology is backed by 3 Nobel Prize winners, mathematicians, AI & data science experts from Google, and the former CTO of Microsoft.
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The Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target’s digital experience. We’ll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target.
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We are investing in advanced technologies (Generative AI, NLP, ML) and critical search-related talent (engineering, product, data science, UX) to take our products to the next level.
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As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team.
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We're looking for software engineers that have experience in languages like Java, Ruby and Python and are interested in working in domains like big data analytics, search and discovery, and machine learning/NLP. In selecting projects, we look for challenging, mission-focused work where our teams can make a significant difference.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Significant experience with NLP applications and unstructured data. - Plus for general software engineering skills, as well as Data Science skills. - Fluency in python- Technologies you may use include Azure services such as Azure Machine Learning, Azure AI Search as well as python, micro services, docker, CI/CD, Elastic Search, SQL and NoSQL.- Plus for LLM experience and Open AI API- Plus for search technologies and vector databases.
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Experience with NLP, Large Language Models, LLM prompt engineering, vector databases, Retrieval Augmented Generation (RAG), and search engines. 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.
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. This role will have the opportunity to initiate and lead exciting projects to further the state of language understanding at Apple, and use data science, machine learning and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people.
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Excellent understanding of Data Science Theory, LLMs, ML, NLP, and statistical methodologies in a data analytics environment. Experience with search engines, web scraping, data classification algorithms, recommendation systems, and relevance evaluation methodologies.
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M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldExpertise in applied ML for Search/NLP/IR/Product Knowledge Graph - both classical and deep learning based.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This is a new Data Science innovation team within the Risk Intelligence Engineering function. You will report directly to the Director of Data Science and play a key role in guiding the development of ML and AI technology within the organization.
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Knowledge of data science and machine learning core skills. Tools you may use include Azure services such as Azure Machine Learning and Azure prompt flow, as well as python, langchain, streamlit, docker, git, and elastic search.
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Preferred - 3+ years of experience working on enterprise AI, ML, NLP, search, or data science-based products. Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions.
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In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling. The Ark, Govini's flagship product, combines commercial data and artificial intelligence into applications that solve challenges across the entire spectrum of Defense Acquisition, including Supply Chain, Science and Technology, Production, Sustainment, and Modernization.
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