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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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This role is pivotal in advancing our privacy practices at USDS, through aligning USDS privacy requirements with the global privacy compliance framework (PCF), working closely with global legal, R&D, Privacy and Data Protection Offices (PDPO) as well as USDS privacy operation teams.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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The team's premiere skill set is IBM RACF. The team also supports ETF/R, zSecure, and other host-based application security platforms. Main function we are looking for is RACF administration, both zSecure and ETF/R are tools used to help in administration of RACF. The focus is on administration (not product (software)/tool support.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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Excet, a Precise Systems Company seeks a Battery Research Scientist who will work as a leading member of the technical team performing R&D activities in an advanced battery research group at a U.S. Navy laboratory.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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1 year of experience with Python, R or other statistical analyst software. Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.
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Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement. Third Party Risk Management: Advises on appropriate sharing of Personal Data with external parties (e.g., clients, partners, vendors, and donors), including, where appropriate, with support from and in consultation with IDB Invest Legal department.
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The internship will provide exposure to the vast array of research areas and scientific products generated by R&D and fosters opportunities to meaningfully engage with scientists, program managers, communications and public affairs professionals, and leadership across R&D. This internship provides an ideal entry point to candidates interested in working for federal land management agencies, particularly those with an interest in STEM and science communication.
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Understanding of data security and data privacy regulations relevant to building web applications that are compliant with Risk Management Framework (RMF), Defense Information Systems Agency (DISA) Security Technical Implementation Guides (STIGs) guidance, and National Institute of Standards and Technology (NIST) Special Publication 800-53 catalog of database security controls.
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Piper Companies is seeking a Data Science Content Writer for a start up organization. The Data Science Content Writer can either reside in the Austin area or work remotely CST or EST hours.
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r data jobs Title: data scientist Company: Inc in Arlington, VA
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