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Statistical analysis applied to sensory testing by utilizing Analysis of Variance, Principal Component Analysis, Cluster Analysis, Correlation Analysis, and Preference Mapping to analyze sensory data, and utilizing statistical tools to perform Descriptive Analysis panel performance analysis.
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A highly skilled and experienced Data Scientist at a competent level with a strong focus on LLM (Large Language Models). HCLTech is looking for a highly talented and self- motivated Competent Level Data Scientist - LLM Focused.
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As a data scientist, you will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling Strong command of statistical techniques and concepts.
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Job Description:We're on the hunt for a highly skilled and experienced senior data scientist to lead the delivery of Generative AI solutions at the Citi Innovation Lab. We need someone who's not just knowledgeable but hands-on, with a track record in data science, Natural Language Processing (NLP), Understanding, and Generation.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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1 year of experience as a Data Scientist or a related occupation. ; experience w/ Data Prep; SQL scripting; Python, Spark or Scala scripting; & Cloud exp. Lead Exploratory Data Analysis (EDA), feature creation, model development, testing and deployment.
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You will weave stories with meaningful insight from data. Minimum qualifications:Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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Barrington James is seeking a highly skilled individual with medical imaging expertise to join one of our key clients based in Florida as a Principal Data Scientist/Machine Learning Engineer, who are a global leader in medical device innovation.
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We are looking for a Principal Scientist or Associate Director of Medicinal Chemistry that can apply contemporary strategies and pioneer new methodologies to advance our macrocyclic peptide pipeline and discovery platform as we define and create next generation bRo5 drugs.
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Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
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Build real-time data streaming. Support development of data architecture. Exposure to energy markets or battery systems modelling. Working in the Clean Energy space on an Energy trading platform, this role will require a strong Python and Computer Science background.
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We combine deep expertise in receptor biology, generative AI, and high throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics for new tissues. We are an all-scientist team of biologists, chemists, and machine learning experts that believe targeted extrahepatic delivery is the only thing preventing RNA therapies from becoming the standard-of-care for most chronic diseases.
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Sr. to Lead Data Scientist - AML / Anti-Money Laundering. - At least 3 years of professional experience (the more the better) as a Data Scientist focused on money laundering detection.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Or, alternatively: Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
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