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Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Most positions require a particular subject-matter specialization, e.g., aeronautics, anthropology, art, geology, history, natural science, technology, biology, or zoology. For this position, specialized experience is defined as demonstrated experience in administering and managing The Museum System (TMS), and experience administering a database using Microsoft SQL Server Management Studio including writing SQL queries to review, update and insert data; experience with the report-writing software.
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At least 5 years of experience in securitized cash flow modeling or model development with a data science background using consumer, commercial borrower, or customer behavior. Intense collateral performance analysis of consumer and/or commercial asset classes involving large, multi format data sets including: auto loan, consumer unsecured loan, point of sale finance, timeshare, small business loans, equipment finance, and/or leveraged credit.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. 7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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REQUIRED DEGREE/EDUCATION/CERTIFICATION: Bachelor's degree or higher from an accredited college or university in medical laboratory science, medical technology, clinical laboratory science, or in a related science (e.g., laboratory science such as chemistry, biochemistry, biology, microbiology, immunology, etc.
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Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement. Third Party Risk Management: Advises on appropriate sharing of Personal Data with external parties (e.g., clients, partners, vendors, and donors), including, where appropriate, with support from and in consultation with IDB Invest Legal department.
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Keywords: Washington DC Jobs, Salesforce Marketing Cloud Administrator, Salesforce Marketing Cloud, Data Extensions, Data Management Principles, Omnichannel Marketing Concepts, HTML, CSS, Email Specialist, Journey Builder Specialist, A/B Testing, Einstein, Washington DC Recruiters, Information Technology Jobs, IT Jobs, Washington DC RecruitingLooking to hire for similar positions in Washington DC or in other cities.
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Preferred experience would include a background in Databricks DBT, Python, Airflow, Azure Data Factory, and/or KAFKA. Team members will work to deliver customer needs within our enterprise data warehouse, which may include data ingestion, flattening, alerting, testing, transformation, optimization, and/or data mart development.
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Ability to analyze data (e.g., means, correlations, t-tests, ANOVA, regression) and make appropriate conclusions from data using standard social science statistical analysis packages (e.g., R, SAS, SPSS.
$100,795 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience with one or more of the following: data storage and management approaches (e.g. data warehouses, vs data marts vs data lakes) , geographic information systems design, data visualization, business use, and modeling as well as experience with health information systems currently in use in the global health and development landscape (e.g., EMR, LIS, HRIS, DHIS2.
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Provide subject matter expertise in informatics, data modeling and design, data science, machine learning (A.I.), clinical workflows, metadata management and Industry best practices in digital health.
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The candidate will provide data engineering, data visualizations and analysis, and predictive modeling as a data science consultant to a Department of the Air Force client as part of a team responsible for harnessing, cleaning, merging, transforming, and analyzing large amounts of maintenance, logistics, and financial data.
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Acuity is looking for a Data Engineer to join our Engineering Team. In this position, you will apply your skills in data science, data analytics, and data warehousing to pioneer cloud and data services with our clients.
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data science jobs Title: consultant Company: Iqvia in Washington, DC
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