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1+ years of experience in advanced data analysis (using JMP, GAJT and/or SQL), statistical process control (SPC), and design of experiment (DOE) principles. As a Silicon Photonics (SiP) Process Integration Engineer, you will be part of Intel's SiP Process Development and Manufacturing (SPDM) team that is leading Intel's market transition and driving innovation for the next generation of optical interconnect products.
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Develop and optimize quantitative trading and hedging strategies using statistical modeling, machine learning, and data-driven techniques. Strong programming skills in Python, with expertise in quantitative analysis, quantitative modeling, statistical analysis, data modeling and machine learning.
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Develops solutions and solves problems utilizing formal education, experience, statistical analysis, and problem-solving methodologies / tools. and/or Science discipline such as Materials Science, Physics, Optics, Photonics.
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Job Description As a Silicon Photonics (Si P) Process Integration Engineer, you will be part of Intel's Si P Process Development and Manufacturing (SPDM) team that is leading Intel's market transition and driving innovation for the next generation of optical interconnect products.
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Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
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We are looking for quantitative social scientists with experience in applied research in survey methodology, consumer marketing, behavior, statistical inference, regression modeling, exploratory data analysis, and demography.
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Leveraging your expertise in statistical analysis, machine learning, and predictive analytics, you will analyze market trends, evaluate project feasibility, and optimize our portfolio for maximum impact and profitability.
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Proficiency in data access tools, business intelligence tools and advanced statistical tools required (SQL, Tableau, Power BI, Python, SAS, HTML, Jira, etc. About us: New Seasons Market began in 2000 when three families got together to open a neighborhood market, a place where local communities can come together to connect with where their food comes from.
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Demonstrated experience working with routinely collected data (claim databases, electronic medical (health) records, registries), and various structured and possibly unstructured data sources in the healthcare sector within pharmaceutical companies settings in commercial market access, medical affairs, scientific affairs and/or R&D environment.
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Each of AMDI’s Autolabs are small, portable point-of-care diagnostics devices using breakthrough microfluidics, hardware, and data/cloud connectivity to deliver secure lab quality results in. Minimum of 5 years of industry experience in a molecular biology atmosphere involving RT-PCR assays with a good track record in bringing assays to market (CE mark, FDA or CLIA.
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The ideal candidate will utilize statistical techniques for forecasting, analyze sales and customer data for trends and opportunities, and collaborate cross-functionally to implement data-driven strategies.
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Deep expertise in statistical and machine learning methods for go-to-market attribution and hands-on experience with building end-to-end attribution systems that may include Marketing Mix Modeling (MMM) algorithmic multi-touch attribution (MTA.
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Statistical analysis, policy research and analyzing and evaluating data, policies and technical issues. Research, data collection, and insightful statistical and non-statistical analysis.
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ResponsibilitiesVice President, Threat Management & ResponseJob Description:Humana is a Fortune 50 market leader in integrated healthcare whose dream is to help people a. Experience with Python, R, SAS or other statistical programming language.
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Managers of Statistical programming provide comprehensive programming expertise to clinical project teams to support the development, regulatory approval and market acceptance of Bristol Myers Squibb (BMS) products.
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