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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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JOB DESCRIPTION Position posted until filled Latent Print Examiner I Description At the Atlanta Police Department Crime Laboratory our mission is to provide exceptional quality forensic science services to our customers by presenting unbiased conclusions to the judicial system using the standards set forth by a nationally recognized accrediting body, the ANSI National Accreditation Board (ANAB.
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Degree in Aviation, Data Science, Statistics, Mathematics, Operations Research, or Computer Science. The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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All areas of research will be considered, especially scientific artificial intelligence (AI methods unique to scientific computing), urban computing (enabling effective design and operation of cities and urban communities), application-driven post-Moore's law computing, and data science for fighting disease.
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Undergraduate students in pursuit of a bachelor’s degree in Computer Science, Data Science/Analytics, Statistics, Aviation management, or similar in a 4-year degree program (Note: this role is not intended for a student pursuing a professional pilot career.
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Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. We are looking to hire a staff machine learning engineer to join our RVO Health data science team.
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Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure.
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Experience in designing and implementing data pipelines and ETL processes using tools like Azure Data Factory/Airflow and Azure Databricks/Azure Synapse. Knowledge of Azure Data Platform including Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Data Factory.
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For consideration, applicants must have his or her Bachelor's Degree in clinical laboratory science, biomedical science, medical technology or in a life/biological science in addition to either ASCP or AMT Certification as a Medical Technologist (MT)/ Medical Laboratory Scientist (MLS.
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The Medical Science Liaison (MSL) program is specifically designed to meet these needs through a field-based group of medical professionals with deep content knowledge about specific disease states, Lilly and competitive compounds and landscape in the therapeutic areas they represent.
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2-3 years’ data engineering or data science experience (preferably in Python, and/or PySpark/Scala) Design and contribute to data science pipeline using python and Snowflake.
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Independently research and assist in development of new procedures; compile and evaluate data and perform statistical analyses. Bachelor's degree in Medical Laboratory Science or Medical Technology, or a chemical, physical or biological science.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Function as a subject matter expert in multiple service areas of data security and operations - Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Research in the areas of data visualization, human computer interaction (HCI), interactive and ubiquitous computing, data analytics, and data science at Dolby Laboratories focuses on all aspects of large-scale cloud and edge data platforms and services, and novel ways to accelerate discovering insight from data.
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data science jobs Title: research associate Company: Iqvia Holdings Inc in Atlanta, GA
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
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