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Expertise and hands-on experience in immunological assays, including IHC, ChIP, ELISA, IF/ICC, flow cytometry, western blot, etc. Become a subject matter authority on hybridoma technology in general and DSHB’s cell lines and antibodies in particular; provide technical input and evolving data analysis presented from immunology, molecular biology, and related fields.
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Pro-active self-direction with a high level of initiative and persistence and a hands on approach to results delivery. To keep on top of product/chemical safety legislation and changes to regulations impacting Reckitt products and businesses and ensuring that the appropriate people are aware of potential issues and that necessary action is taken.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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This role combines the expertise of a data scientist with the responsibility of overseeing and optimizing our Enterprise Resource Planning (ERP) system in strong coordination with the Group IT. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, coupled with hands-on experience in managing business processes (Offer to Cash -OTC) within the ERP systems.
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Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. The Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.
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Hands on Experience with : R, Python, SQL, AWS (EMR, EC2, Redshift, Athena, S3, Sage Maker) Hands on Experience with : R, Python, SQL, AWS (EMR, EC2, Redshift, Athena, S3, Sage Maker) Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. Bonus having relevant hands-on experience in marketing-related projects, mainly in the domains of customer journey modeling, predictive lead/contact scoring, attribution, next-likely purchase/tactic modeling, cross-sell/upsell propensity modeling, churn and retention analysis, text analytics, among others.
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Have an excellent academic background with strong Hands-on Knowledge of Python OR Scala. Hands-on Software Development Skills (Scala-Preferred) Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.
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Hands-on experience with common upstream pilot equipment and operations (i.e., adherent/suspension cell expansion, rocker bioreactors, single-use stirred tank reactors up to 500L, transfection, and harvest filtration/clarification) and ability to train junior staff.
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Prefer hands-on experience programming / scripting languages: Python, php, MATLAB. The Data Scientist will support the United States Air Force with the development of a graph database in pursuit of counter-threat finance activities in downtown Tampa, FL.
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At least 5 years of hands-on experience in data science without a Ph. D., or 3 years of experience with a Ph. D.Proven track record of successful data science projects in the Consumer Packaged Goods (CPG) industry.
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Hands-on experience with protein purification (HPLC, FPLC, SEC, IEX, IMAC, etc.) Hands-on experience in protein characterization using various analytical techniques, including Nanodrop, SDS-PAGE, nanoDSF, Octet, LC/MS and plate-based assaysis required.
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Hands-on experience with AWS services, including S3, Athena, Kinesis Stream, and Kinesis Data Analytics. We're seeking a highly skilled DevOps Data Engineer/Data Scientist IV with 5+ years of experience to contribute to our cutting-edge projects.
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Job Overview: The incumbent will be collaborating with Chemistry, Biology, and Bioinformatics teams to perform experiments supporting the progression of projects from hits to development candidates, with a focus on hands-on laboratory work, molecular biology techniques, and cell-based activity assays.
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The Associate Data Scientist role is a collaborative, hands-on position that leverages data science to optimize the delivery of key information to business stakeholders. Hands-on approach with a proven track record of successfully implementing and executing data-driven initiatives.
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