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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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Qualifications: Bachelor’s degree in computer science, science technology, international relations, political science, economics, law or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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We provide data architecture focused on organizing the underlying data in the most effective manner to provide the business timely access to information to improve business performance.
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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. Experience designing, testing, and implementing information and data management systems, including mobile applications, transactional systems and business intelligence implementations.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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In this role, the Business Development Manager should have a strong business acumen that accompanies deep knowledge of US Federal Government civilian agencies. Based in Washington DC, the Business Development Manager will expand existing engagements and establish new customers as CIYIS continues to grow sales pertaining to our US Federal Government market plan.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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The Technology team at Emerson Collective (EC) consists of software engineers, data scientists, and product managers spanning new product development, engineering, data science, and information technology.
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At least 8 years of experience in data science or machine learning, with a proven track record in building and deploying LLMs and chatbot systems. The ideal candidate will possess a strong background in data science, machine learning, and the ability to leverage Azure's managed services and large language models (LLMs) to deliver innovative solutions.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Undergraduate degree or 4 additional years of general IT experience in areas such as business analysis, systems analysis, software development, quality assurance, and/or project management.
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Act as a Business Analyst and interact with TRE and ITS stakeholders to capture business requirements and technical specifications for the development of modernized system solutions, including initiatives leveraging emerging technologies.
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Last Energy seeks a Government Business Development professional to lead business development opportunities with the US Department of Defense (DoD), US Department of Energy (DOE), the North American Treaty Organization (NATO), and other similar US and international government organizations.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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business development data science jobs Title: business performance analyst in Washington, Beech-grove, Indiana
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