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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/seaborn. Familiarity with big data technologies and distributed computing platforms such as Hadoop, Spark, or AWS EMR.
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Experience working with big data technologies: Apache Airflow, Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift. We're in search of an exceptionally skilled and highly effective Senior Software Engineer to join our Digital Insights Data Engineering team.
$112,000 - $184,950 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Thorough understanding of ML, data analysis, data visualization, and event-driven architecture. Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.
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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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IDR is seeking a fully remote Data Architect to join one of our top Fortune 100 clients. Utilize Palantir Foundry to develop and implement data solutions, ensuring robust data governance and security.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
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Experience with data analytics/visualization tools and communicating analysis (SQL, Google BigQuery, Tableau, programming language (R, Python, or SAS. The individual must possess strong communication and data mining skills, and be familiar with the programming tools, statistical software and technology used by the CPE team (e.g., SQL, Tableau, R, Python.
$85,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms. dbt implementation experience a big plus.
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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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Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP). 5+ years of experience in data engineering principles and practices (e.g., big data technologies, data warehousing, data pipelines.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Big Data / Data Lakehouse / traditional RDBMS/data warehouse/mart. Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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If you're excited by the chance to deal with "big data," healthcare is the place to be. You're motivated to learn new tools, explore unfamiliar data sets, synthesize information to see the big picture while effectively managing the details, and share your insights with others.
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big data visualization jobs Title: engineer in Atlanta, ME, Canada
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