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15 years of relevant experience, ideally in data science/analytics, programming, software engineering, control, audit, or risk roles and/or public accounting, with an emphasis in machine learning.
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6 years of experience in data engineering or data science. Piper Companies is looking for a Data Scientist to join an elite educational non-profit in Washington, DC, to cluster large datasets across various container and data platforms.
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Expert in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc. As a CGS Data Science Manager, you'll measure your success by your impact on our customers’ mission and the execution and expansion of our data offerings at our key customers.
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Master’s degree in Public Policy, Health, Social Work, Gerontology, Political Science, Business, Economics, or a related discipline. Ability to write data-driven fact sheets, policy briefs, and research reports, and the ability to analyze relevant data and databases to analyze metrics related to LTSS and family caregiving.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools. As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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OP undertakes citywide and neighborhood planning and engagement; urban design and development review; historic preservation; mapping and data analysis; and serves as the official Census State Data Center.
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Bachelor's degree in a Social Science field and 5+ years of experience in justice research and quantitative analysis, or Master's degree in a Social Science field and 3+ years of experience in justice research and quantitative analysis.
$123,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Engineering & Platforms (CITDE) organization is seeking a Data Scientist responsible for leading our machine learning and artificial intelligence deliverables & strategy, and the execution of related programs and practices that drive measurable business outcomes.
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Summary These job openings are in the Bureau for Global Health, Office of Infectious Disease, Emerging Threats Division (GH/ID/ETD) in the U.S. Agency for International Development (USAID).
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We have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Graduate degree (MS or above) or Graduate level work in quantitative discipline (e.g., electrical engineering, industrial engineering, statistics, operations research, economics, computer science, data analytics, mathematics, physics, etc.
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This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges – requiring this leader to develop and execute a team charter and roadmap , resulting in new customer and operational KPI reporting , predictive intelligence (e.g. , at - risk customers , customer maturity, etc.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.
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Most positions require a particular subject-matter specialization, e.g., aeronautics, anthropology, art, geology, history, natural science, technology, biology, or zoology. For this position, specialized experience is defined as demonstrated experience in administering and managing The Museum System (TMS), and experience administering a database using Microsoft SQL Server Management Studio including writing SQL queries to review, update and insert data; experience with the report-writing software.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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data science jobs Company: Kpmg in Washington, ND, France
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