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Domain expert knowledge and solid skills in computer science, applied math, statistics, and machine learning. 8+ years industry experience in software development, minimum 3 years as a machine learning engineer or data scientist.
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Ability to work with mathematical concepts such as probability and statistics and apply elementary math functions. Baylor Scott White Hospital LakePointe. Environmental Services Manager. Tours and inspects the facility to ensure total quality management requirements in custodial and housekeeping operations.
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MINIMUM TRAINING/EXPERIENCE: A Bachelor's degree in Educational Psychology, Statistics, Public or Business Administration, or Math, Science, Technology related field and 2 years of experience in psychometrics and data analysis, project management, program evaluation, test development/scoring/administration, or curriculum design and development.
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The Custodial Manager will lead custodial operations and supervise, train and direct the custodial associates. Reports to and support the Custodial Manager Senior or Facility Director in achieving objectives and client expectations.
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You have a Bachelor's degree or higher in a quantitative field including Computer Science, Physics, Applied Math, Statistics or other quantitative fields. You have 7+ years of professional experience as a Machine Learning Engineer or Software Engineer or 5+ years with an advanced degree.
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Successful completion of the NYS CSEP Applied Skilled Trades Certificate Program includes a total of 288 hours of trade-specific classroom instruction, 45 hours of technical math course work, 45 hours of technical communications course work, and 15 hours of blueprint/schematic reading course work.
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Bachelors degree in math, statistics, economics, or related field and 2 years of actuarial work experience (OR) 5 years of actuarial work experience. We are targeting candidates located within the Madison/Milwaukee/Appleton/Sheboygan market who will be able to work 1 day/week at the Fond du Lac home office.
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Basic experience in computational finance, econometrics, statistics, and math. Basic experience in computational finance, econometrics, statistics, and math. Freshers are also encouraged to apply.
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Coursework in transportation, engineering, urban and regional planning, geography, math, statistics, economics, or other related courses (an EIT for engineering candidates is preferred) Completed bachelor's or in-progress master's degree in transportation, civil or electrical engineering, urban and regional planning, or a related major (e.g., geography, math, statistics, economics.
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What You'll Need MSc or PhD with a strong quantitative focus, such as Computer Science, Statistics, Data Science, Engineering, Physics, Math or a related field. Experience with machine learning algorithms (regression, deep learning, time series analysis, predictive modelling, data mining, cognitive computing, natural language processing.
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Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology). Familiarity with R or Python for predictive modeling. Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
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BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.) Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
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Strong math skills (e.g., statistics, algebra). Knowledge of R, SQL and Python; familiarity with Scala, Java or C. Bachelors in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.
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Bachelor’s degree or equivalent work experience in a quantitative field (e.g., Information Technology, Information Systems, Computer Science, Statistics, Economics, Math, Sciences, Engineering) with concentrations in Data Analysis, Data Integration/ETL, Data Modeling and Data Warehousing as plus.
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Master’s degree in data science/clinical informatics or another related quantitative field (e.g. physics, chemistry, engineering, math, statistics, etc.) Demonstrated experience and skills with Python or R programming languages.
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