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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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Practical Skills: Acquire hands-on experience and practical skills in data analysis, data visualization, SQL, Python, and statistical analysis, equipping you to manage real-world data challenges effectively.
Part-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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This individual must be able to interpret and communicate results using a variety of techniques, ranging from simple data aggregation and statistical analysis to complex data mining.
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Performs administrative duties by reviewing and analyzing statistical data, compiling Information, preparing reports and correspondence, and researching and recommending legislation, trends, and program options.
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Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Certificate in business analytics, data mining, or statistical analysis. Proficiency in programming languages such as Python, R, or SQL, and experience working with big data platforms and tools (e.g., Hadoop, Spark.
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Proficiency in Stata, SAS, R, or another statistical package required. My customer, Johns Hopkins University, is looking to add a Data Analyst to their team. Ensure data integrity and compliance with security policies.
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Demonstrated knowledge of statistical concepts, data manipulation, Slate CRM, and programming of statistics software (SPSS, R, Python, or other). Job Summary:Reporting to the Vice President and Dean of Enrollment, the Director of Enrollment Analytics is a member of the University Enrollment senior management team and understands admissions and financial aid strategies for undergraduate students and how to harness data and analytics to shape, influence, and model enrollment.
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Familiarity with a variety of computer software used for researching, tracking, data entry/processing, and reporting information, i.e. AHCCCS Online, Excel, Word, and various statistical or graphics programs.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Associate VP, Data Science Job in Omaha, NE, 620909710 | CLevelCrossing.com. Experience with Python, R, SAS or other statistical programming language. Application for : Associate VP, Data Science.
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8 years of directly relevant, tech industry work experience such as a statistician, or data scientist, with deep expertise in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
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The Housing Navigator also supports the Housing Manager with statistical data, community outreach and reporting. Completes data entry and submits necessary reports as required for grant compliance.
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Underwrite potential multifamily real estate investment opportunities based on previously collected financial and market data and research. Barvin is seeking a highly motivated Acquisitions Analyst to initiate and undertake underwriting, market research, data collection/analysis, and preparation of investment memoranda to assist and facilitate the growth of Barvin’s real estate portfolio.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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