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PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years experience , or MS with 13+ years experience, or BS with 15+ years experience. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI.
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About AIR:Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
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Requirements: Education and Experience Bachelor’s Degree in public policy, public administration, business analysis, organizational development, economics, urban planning, finance, statistics, computer science, political science or a similar field, and three (3) years of experience; or any equivalent combination of education, training and experience which provides the required knowledge, skills and abilities to perform the essential functions of the job.
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Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis.
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A graduate degree in a quantitative discipline (e.g. power systems engineering, computer science, electrical engineering, mechanical engineering, physics, mathematics, statistics) with strong academic performance and applied research in power systems and modeling.
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The HIDIVE Lab has an international reputation for creating high-impact data visualization tools and we are driven to solve the most challenging design and engineering problems in biomedical data science.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Strong SQL skills and experience with data visualization tools like Tableau or Looker. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
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REQUIREMENTS:A minimum of a Bachelor’s degree in GIS, data science or related environmental field (geology, hydrogeology, biology, etc.) RESPONSIBILITIES:Support the visualization and analysis of geospatial data using a variety of industry leading software solutions such as Microsoft PowerBI, Earthsoft’s EQuIS and Esri’s ArcGIS Platform.
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Proficiency in Tableau or similar data visualization tools. What you’ll bring At least 5 years of business analytics or data science experience. Bachelor’s degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, or another relevant discipline.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Familiarity with radar data visualization techniques and tools, such as waterfall plots, range-Doppler maps, or ParaView. Fluency in data science tools like NumPy/Scikit-learn and cloud services such as Google Cloud Platform.
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science visualization jobs in Boston, MA
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