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Requires any amount of experience with the following: data analysis; Modeling and Machine Learning techniques; teaching and communicating advanced concepts; programming with a scripting language (such as Python, R, Matlab, Java, Mathematica); and probability and statistics competency.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Exposure to Statistics, Econometrics, Data Science, and Machine Learning concepts and tools. Experience in data architecture, data modeling, designing, and data analysis with conceptual, logical, and physical modelling of OLAP and Snowflake data warehousing.
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Coursework or demonstrated experience in the use of statistics and relevant applications (i.e., SPSS), research methodologies, predictive modeling, and sound survey research practices. Mount Saint Mary's University's commitment to equity, diversity and justice (EDJ) is steeped in the tradition and legacy of the Sisters of St. Joseph of Carondelet (CSJ), our Catholic identity, mission and values.
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Knowledge of Quantum Computing, Quantum Error Correction, classical Coding Theory, Linear Algebra, or Statistics. software, writing code interfacing with OS/hardware, writing Python gluecode for integration with qubit control stack, automation of common profiling and performance modeling tasks, advising on Software Engineer practices, improving code quality in legacy components.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate is a motivated self-starter with a passion for modeling and simulation (ideally in an aerospace environment) with extensive software engineering experience. Strong proficiency in mathematics, particularly statistics, linear algebra, or calculus.
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A certificate in any of the following fields: Public Debt Management, Monitoring and Evaluation, Project Management, Debt Management Performance Assessment, Debt Sustainability Analysis, Macro-Economic Analysis And Modeling/Reporting, Policy Formulation, Public Debt Restructuring, or any other equivalent qualification from a recognized institution.
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MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields. Designing and/or executing modeling and simulation tools (e.g. AFSIM, JCATS, STORM, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Provides comprehensive data and analytic support and collaborate with the Title V Project Coordinator, Director of Student Success and Retention, and external evaluator as appropriate. Experience with one or more of the following is preferred: Banner, PeopleSoft, or preferably Ellucian's Colleague, especially academic / student modules.
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Familiarity with common institutional research and effectiveness measures (e.g., retention, graduation rates, etc.) Experience with data visualization software (familiarity with Tableau is preferred.
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Experience or exposure related to the following topic areas (note thatexperience in all these areas is not required)Topic Areas: Field work, traffic operations analysis, signal design, transportation planning (e.g.,bicycle or transit plans, infrastructure finance, transportation and land use policy, and/or travel demand modeling.
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Major: Preferred: Bachelor's Degree in Statistics, Math, Business Systems or Master's Degree with 5 years of experience in Informatica ETL Developer role in Data Warehouse projects, Enterprise Data Warehouse, OLAP, and dimensional data modeling.
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Minimum of three (3) years of relevant experience in mathematical modeling, statistical analysis, machine learning, AB testing, or data science in an applied context using statistical programming languages, SQL, and other scripting and statistical tools as well as proficiency in one (1) or more visualization tools.
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modeling statistics jobs in Los Angeles, CA
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