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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.
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Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Your responsibilities will include: Supervise and mentor pro bono attorneys with Safe Passage Project; Represent immigrant clients in similar proceedings; Collaborate with Senior Staff in the analysis and creation of legal strategies; Contribute to the creation of policies and strategies for Safe Passage Project; Supervise and provide detailed reporting statistics on each case mentored and represented directly; Prepare trainings and materials to present at Safe Passage Project trainings.
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The employer will alternatively accept a Doctorate ( degree in Mathematics, Statistics, Engineering, Physics, Economics or related field of study plus 1 year of experience in the job offered or as Quantitative Research Analyst, Capital Market Analyst, Research Assistant, or related occupation.
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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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Responsibilities Performs original and complex copy cataloging of all formats for discovery and access Interprets and applies Library of Congress subject headings, Billings classification, RDA, and OCLC standards in cataloging and classifying library materials Aids in the maintenance of the catalog database Records cataloging statistics as required Plans and executes special cataloging assignments and contributes to developing procedures, manuals, and reports.
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College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. Experience with Azure Functions, Snowflake, Databricks, and Event Hub/Kafka.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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MINIMUM REQUIREMENTS: Bachelor’s degree in Actuarial Science, Mathematics, Statistics or related, and 5 years of post-bachelor’s progressive experience in:- an actuarial role within a consulting firm providing services to Life Insurance companies; or - an actuarial role in a Life Insurance company.
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Relevant training in an advanced degree, such as a master’s degree in business administration, nonprofit management, system science, statistics, or related fields, required. Collaborate with IT, Project Management and Gift Processing and Analytics Departments to ensure data informs and guides strategic Resource Development efforts.
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Required Skills: A PhD or Master's in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar. Required Skills: A PhD or Master's in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar.
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Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred). Job Description: Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Computer Science Data Science Engineering Financial, Stochastic, and other applied Math Operations Research Statistics & Econometrics Other STEM majors Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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EducationBachelor's degree in Mathematics, Economics, Statistics, Computer Science, Actuarial Science, Social Science, Healthcare or related discipline or equivalent professional work experience.
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statistics job Company: Metroplus Health Plan in Brooklyn, NY
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