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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Will also accept a Masters degree, or foreign equivalent, in Business Analytics, Data Science, Data Analytics, or a related field. Requires a Bachelors degree, or foreign equivalent, in Business Analytics, Data Science, Data Analytics, or a related field.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Desired Skills and Experience:· Understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying and managing data science models in production. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree.
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Essential Skills and Experience:· Experience in data science, machine learning, or a related field. · Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models.
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Strong understanding of data management, analytics, cloud, and data science concepts. You will work closely with cross-functional teams, including product, engineering, design, analytics, and data science, to deliver high-quality products.
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Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering). We are seeking a talented and professional Manager (Data Engineer Skillset) to join our team.
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Being responsible for the creation and maintenance of data science pipelines with a focus on time series forecasting and model evaluation; - Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics.
$315,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Senior Manager, Data Science will be responsible for overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets and executing and participating in the data vision.
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Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Experience in data engineering with an emphasis on data analytics and reporting.
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Strong technical skills in data analysis and science tools including Python, R, and SQL; Experience in big data tools (GCP, BigQuery, Databricks) or geospatial (ArcGIS, QGIS) is a plus.
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Sr Technical Program Manager, DP & I - Data Platform, Data Products & Infrastructure - Data Platform
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Coordinate cross-functional teams including data engineering, data science, security, and business intelligence to drive integrated solutions with cross-organization alignment. We are looking for a results-oriented, driven Senior Technical Program Manager who can work with our engineering and product teams to deliver capabilities and improvements on a multi-petabyte data lake, and work with our internal customers through adoption.
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KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice. Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Sr Technical Program Manager, DP & I - Data Platform, Data Products & Infrastructure - Data Platform
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Proficient in the use of AWS data services (e.g. S3, Glue, Athena, Redshift, EMR, etc.) In this role, you will be responsible for important program deliveries such as driving the end-to-end execution of complex data lake migrations; data platform enhancements; and advanced data engineering, security, and analytics projects.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
science job Title: manager data in Dallas, NV, Canada
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