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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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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow-across product categories and geographically.
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Qualifications: PhD in environmental science, environmental health, hydrology, or related discipline; commitment to community engagement and research. The Fellow will be responsible for the coordination of sensor placement in collaboration with community survey collectors, downloading, organizing, and curating indoor air quality data, with a focus on analyzing data in the contexts of human health, basement microbial communities, and weather forcings.
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Leverage data science and advanced analytics allowing us to go beyond and improve program and product delivery, forge exceptional customer experiences, and capture new growth and value opportunities.
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The Senior Research Associate responsibilities will include close collaboration with the research manager to assist in coordinating all aspects of this major study including recruitment, participant tracking, data collection, scheduling, and general organization of study materials.
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The Associate Territory Manager is responsible for assisting the support plan sales team for the Chromatography and Life Science business within the Analytical Instruments Group. Knowledge of Chromatography (GC and HPLC), Mass Spectrometry (GC/MS and LC/MS) and Chromatography Information Data Systems (CDS/LIMS.
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Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. + Certifications in AI, machine learning, or data science.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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New initiatives include the development of infrastructure and content for a large-scale governmental and industrial workforce education in cloud computing, data science, and AI/ML content delivery through a large number of higher education organizations across the globe, as well as related research.
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Co-own and lead the planning, development, documentation, and day-to-day management of Data Science and AI solutions products prioritizing client's objectives and business goals. Ability to collaborate with Technical SMEs such as Data Scientists, Data Engineers and ML Engineers from Tiger and Client side to design AI and ML solutions.
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Bachelor's Degree in Mathematics, Actuarial Science, Finance, Business, Computer Science or other quantitative analysis discipline. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
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