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Data mining languages and packages (e.g. R, Python) Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.
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Synaptics is seeking a Sr. Staff Data Scientist to establish the data science function in Synaptics with initial focus on New Product Introduction and Enterprise Sales. 12+ years of proven experience as a data analyst or data scientist.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.
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The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. ○ Proficiency in statistical data analysis and data mining packages (e.
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Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems.
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Currently we have an immediate need to add an experienced: Data Scientist Location: McLean, VA (on-site client environment) Clearance: TS/SCI with polygraph Compensation: Competitive, Excellent Benefits Only applicants with the active required security clearance and are U.S. Citizens will be reviewed.
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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Proficiency with data mining, mathematics, and statistical analysis. We are seeking a well-rounded Data Scientist to join our company on a full-time permanent basis and contribute to our search technology development efforts while being based out of our development office in New Hope, PA. As part of a small team, you will be responsible for taking on various responsibilities and embracing the Agile development approach in order to help us continue to develop high-quality products by being involved in cross-functional discussions and driving new innovative ideas.
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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As a Data Scientist Senior - Technology Benchmarking within PNC's Business Operations - Strategic Insights and Value Realization organization, you will be based in Pittsburgh-PA, Cleveland-OH or Birmingham, AL.
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3+ years of professional experience in related data science fields such as artificial intelligence, machine learning, and text mining. Data Scientist: Natural Language Processing and GenAI.
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Watch the below videos of us participating in Industry events with the Top companies in Technology at Oracle Cloud World/Oracle Java One (Las Vegas) and at Gartner Data Analytics Summit (Florida.
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Assist in troubleshooting activities including running additional experiments, data mining, or literature searches. Job Title: Research Scientist II, Small Scale Manufacturing. The Research Scientist II's principal responsibility is to manufacture batches of intermediates and APIs under cGMP protocols.
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The Data Scientist will define data collection requirements, perform statistical analysis on data sets and create reports. Evaluating existing technologies and/or creating new machine learning and data mining algorithms, designing and executing offline/online experiments.
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