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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Strong educational foundation in and experience related to Chemistry, Chemical engineering, Materials Science, or related fields. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Prior experience in medical claims data sets (IMS, SDI, Symphony, Flatiron) is a plus, as is prior marketing research experience. Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing.
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Data engineering skills using Databricks and SnowFlake, ETL tools like Informatica, virtualization tools like Starburst, TIBCO composite, etc. This new role will ensure that enterprise data flows, especially those supporting regulatory reporting and risk and financial decision making, evolve to more streamlined data pathing with fewer hops and duplications.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Typically solutions include a combination of messaging, batch processing and data transformation, and is commonly written in Python.
$100,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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6+ years of work experience in the field of Data Science, building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
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Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field.
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Gather and analyze customer feedback and market data to inform sales strategies and product development initiatives. At Scholastic Book Fairs, we bring “the best school day of the year” in 110,000 unique pop-up shops annually.
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The role leads the US TA insights team across all aspects of identifying key business questions (KBQs), leading the development and execution of an Integrated Insights Plan (IIP) with its various components such as Primary Market Research (PMR), Forecasting (FC), Business Analytics (BA), data strategy, human insights (behavioral science-led) and Competitive Intelligence (CI) in collaboration with internal partners and external vendors.
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Getinge is a global company that designs and manufactures medical devices and life science equipment. Review change notices (CNs) & Protocols/Protocol Results/RFDs for software-related changes Support software issue investigations, risk assessments, and associated CAPA activities Support the Health and Hazard Evaluation process by gathering required data and performing in-depth analysis prior to sharing the information with the Field Action Committee.
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Proficiency in analytical chemistry, data interpretation, and working knowledge of method development; NMR, IR, UV, HPLC/LC/MS. Proficiency in wet-chemistry lab experimentation, research and experimental methodologies for organic synthesis.
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Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application. Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results.
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data science jobs Title: school science teacher in Totowa, NJ
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