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Master's degree in mathematics, statistics, data science, or related field, or the equivalent combination of education, training and experience. Working knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling.
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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, statistics, and more.
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Analyze climate change related data and develop strategies to address gaps and provide recommendations to leadership.
$318,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Masters degree in a highly quantitative and computational discipline (e.g., data science, analytics, statistics, computer science, mathematics, engineering, etc. + Bachelor’s Degree in a quantitative and computational discipline (e.g., data science, analytics, statistics, computer science, mathematics, engineering, etc.
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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.) Experience with FCRA data in consumer credit (i.e. experience with a lender such as a bank, fintech, or credit union, or could be with a credit bureau, or a government agency or non-profit that works with consumer credit data.
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Essential Job Requirements: Clearance: Ability to obtain a Public Trust Education: Mathematics, Computer Science, Economics, or Statistics or related field Required Knowledge/Experience: 3+ years’ experience mining data as a data analystProven analytic skills, including mining, evaluation, analysis, and visualization.
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Program Statistics: Experience with evaluation and improvement metrics within large child welfare systems Analytics Platforms: Experience with Power Bi, Tableau, data architecture, data warehouses, algorithmic programming, and data visualization.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
$109,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's or PhD degree in Data Science, Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Master's or PhD degree in Data Science, Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
$269,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in common Geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science Intern will be responsible for researching, manipulating, and interpreting complex data and analyze results using machine learning, advanced statistics, and other techniques to draw inferences and clearly articulate findings.
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data statistics jobs in Vienna, VA
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