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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Proficiency in data-oriented programming languages (e.g., Python, R, SQL) and visualization tools (e.g., Tableau, Power BI). This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.
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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.
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Familiarity with Alteryx and data visualization tools such as Power BI is preferred. Working knowledge of programming languages such as R, Python, SQL; deep familiarity. The Director, Data Science will be a key business partner to the VP Digital and Sr. Director of Loyalty Strategy and CRM. By improving our access, understanding, and analysis of our customer data, we will be able to drive more informed decision-making and guest-focused strategies.
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Utilize data-oriented programming languages and visualization software to create meaningful insights and dynamic reports. Apply data mining, data modeling, NLP, and ML to extract valuable information from datasets.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) Works closely with Data Engineering, IT, the business, and other internal partners to deploy production-ready analytical assets that are aligned with the customer’s vision and specifications while being consistent with modeling best practices and model risk management standards.
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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program.
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The SAP Supply Chain Analyst will be responsible for implementing and enhancing the organization’s SAP modules focused on Material Management (MM), Production Planning (PP), Quality Management (QM), Warehouse Management (WM) and Plant Maintenance (PM.
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Risk & Brand Protection (R&BP) Independence & Conflicts Network (ICN) - one of R&BP's six pillars. Our reputation starts with you-this belief is core to R&BP Office, which brings together six essential core areas that shape our culture-we collectively work with our businesses to inspire new standards of integrity, trust, and performance to make an impact that matters and to better serve our clients, our communities and our people.
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Experience with data visualization tools such as Tableau, Power BI, or similar. Proficiency in programming languages such as Python, R, and SQL. s part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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Write clean, efficient Python code for data processing, transformation, and automation. Leverage Python libraries (e.g., Pandas, NumPy) to manipulate data effectively. as a Data Engineer, with a focus on Snowflake, IDMC, and Airflow.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Experienced in application designing architecting development and deployment using Qlik Sense Must be efficient in front end development and know visualization best practices. Hands on experience in Qlik Sense development dashboard and data modeling and NPrinting reporting ad hoc report generation techniques.
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analyst remote data visualization r python jobs Title: data in Tampa, FL
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