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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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The Far Horizons program is currently doing fieldwork using two main instrument sets designed and built at the Adler: the GONet camera system, which collects all-sky nighttime environment data in the field, and the NITELite system, which is a high-altitude balloon-borne camera system that collects regional scale night-time images from the stratosphere.
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Firm Type: Law Firm, Experience: 3 Years, Job Overview: A law firm is seeking a highly skilled Mid-Level Digital Risk Advisory and Cyber-Security Associate Attorney to join their team in Chicago, IL. This role is focused on providing comprehensive legal counsel on proactive and reactive privacy and data protection compliance matters, including advising on data security incidents and related regulatory investigations.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Chicago is the place to be in all seasons, and it’s no surprise that it was voted “Best Big City in the.” All year, sports enthusiasts can cheer for the Bulls, Bears, Blackhawks, White Sox, Cubs, or Fire.
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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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At least 2 years of experience in big data technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Aside from spending time digging into big, complex data sets, you will help author transformational strategic planning, forecasting and analysis efforts using workforce data. Role/ Department: HR Data Analytics Consultant/ Strategy and Planning (HR Analytics.
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big data jobs Title: devops engineer Company: Optello in Chicago, IL
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