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The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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Additionally, the Philanthropy Lead Data Analyst will develop and implement a system for the regular review and analysis of data related to giving trends, helping to build a robust pipeline of new and emerging prospects for the Office of Philanthropy's core teams in Annual Giving, Major Giving, Principal Gifts, Gift Planning and Corporate and Foundation Relations.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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Robust understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
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8+ years of progressive, broad-based business experience in the area(s) such as Master Data, Materials Management, Planning, Production, Warehousing, Order Management, Purchasing, Supply Planning, Quality, Accounting, and EDI. Demonstrated ability to exercise good judgment in high-pressure, sensitive situations.
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Data Entry Computer Job - Work from Home Part Time Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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The current vacancy exists at MDOT MVA, Office of Data Management, which is located in Glen Burnie, MD. (Anne Arundel County). The CDBDO must work collaboratively with the MDOT MVA Administrator, Director of Information Technology, MDOT MVA Deputy Administrators and other state/agency staff, domain communities, stakeholders, SME's data producers, and analysts, to design, develop, integrate, and implement data management policies and provides analytics, integrating data with business initiatives and will take the leadership role to establish and align data management expectations.
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Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality, and lineage. The Manager is expected to be highly skilled with practical knowledge of SSIS (SQL Server Integration Services), experience migrating processes to the cloud, and experience with IICS (Informatica Intelligent Cloud Services) and Azure Data Factory.
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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The Data Scientist collaborates independently with principal investigators in statistical design and analysis of clinical and laboratory studies. Experienced in cancer clinical trials and/or other cancer-related studies including study design and data analysis preferred.
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This role reports to the Head of Data Management and can be hybrid in any of our PGIM Real Estate US offices or fully remote. Proven experience building or managing data governance initiatives; experience with data dictionaries, lineage tracking, and validation rules.
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Title: data Company: Iqtalent Partners in Pikesville, MD
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