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The organization consists of over 300 scientists, engineers, and analysts with backgrounds in cyber, nuclear, intelligence, policy, data science, and other fields. The Strategic Threat Analysis group is seeking an international safeguards policy analyst with knowledge and training in technical areas relevant to safeguards including, nuclear engineering, radiation detection, nuclear security, data analysis, and the nuclear fuel cycle to address emerging threats and trends impacting the international safeguards and broader national security space.
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Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Education and/or Experience + Bachelor’s degree in Medical Laboratory Science and completion of NAACLS accredited Medical Laboratory Scientist program; or a Bachelor’s degree in a related science and one to two years of experience/training acceptable to the ASCP or AMT for the Medical Laboratory Scientist required.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Utilize historical data and market trends to provide accurate forecasts to management. Conducts consistent and effective conversations with senior-level executives (VP+) to garner interest and support for new initiatives.
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Work with seniors as well as Data Engineering and IT to plan and deliver MLOps for AI/ML infrastructure and SaaS API services as member of data science team through collaboration. Strong communication skills, able to bridge the gap between data scientists, data engineers and external security, networking, DevOps and other IT infrastructure teams.
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A Master's degree in engineering, science, or closely related field or a Juris Doctor (JD) in law is a plus. Able to draft a data table and risk table (as part of an independent engineering / due diligence report or otherwise.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Master's degree in environmental planning, natural resources, environmental science, or other related technical degree. Bachelor's degree in environmental planning, natural resources, environmental science, or other related technical degree.
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Degree in economics, data science, mathematics, or a related field. In addition to leading data analysis of our WAR, the labor economist will engage in speaking engagements, participate in research study teams, write blogs, liaison with external parties who utilize our work, present to customers, and serve as a key spokesperson with the media for labor-related topics.
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Who You Are You are an ambitious bioinformatics professional fascinated by the intersection of data science and translational medicine within the biopharmaceutical realm. In this role, you will play a vital role in analyzing and interpreting next-generation sequencing (NGS) data, contributing to the success of our client projects from initial data exploration to actionable insights.
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About the job Part Time , Data Entry , Work From Home , Online Data Entry. Data Entry, Work from Home, Online Jobs, Work At Home, Home Based Jobs, Typing Jobs. Fresher, Work from Home, Data Entry Jobs, Part Time, Full Time Jobs.
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Position Overview: As a Senior Data Systems Engineer, you'll play a critical role in designing, building, and optimizing our data systems infrastructure. Competitive salary: The industry standard salary for Senior Data Systems Engineers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications.
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We are looking for a Senior Data Architect (Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficiencies.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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data science jobs Title: senior manager Company: Oracle in Pierre, SD
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