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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong analytical mindset with expert knowledge of SQL and BigQuery, as well as BI tools such DataStudio and Looker (LookML) to implement business reports and BI solutions. Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products.
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Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (R, Python, SQL, Tableau, Power BI). -Experience with data and visualization tools (like Power BI.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in North Ameria or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering processes using Apache Spark, Python, R, T-SQL, or KQL. Implement, optimize, and maintain cost-effective data & analytics solutions by leveraging Azure Cost Management tools and best practices.
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You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Interact with enterprise data systems using Python, SQL Server Management Studio, ArcPro, and Alteryx to update GIS datasets and run spatial analyses. The GIS Business Intelligence Analyst will create dashboards and other data visualization tools to disseminate data and analyses.
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Proficiency with Geographic Information Systems (GIS), Python, and R. Master’s degree in environmental science or related field (e.g. Geography, Geographical Sciences, Environmental/Natural Resources Management, Ecology, Forestry, or Soil Science.
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Fluency in scripting languages (Python, R, Perl, Node.js) and proficiency in R-Shiny. We are seeking a Bioinformatics Scientist who is passionate about developing and refining computational tools and models for the analysis of multi-omics data, with a specific focus on single-cell and spatial omics technologies.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Data pipeline and workflow management tools: Airflow, NiFi, etc.
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Reporting directly to the Director of Data Science, you will collaborate closely with cross-functional teams. Develop and implement highly scalable classifiers and tools using machine learning, data regression, and rule-based models.
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Expert in Microsoft Office Suite, SQL, Python, data visualization tools such as Power BI or Tableau. Domain knowledge of cyber security (i.e. vulnerability management, Security Operations, Data Protection, Privacy and Compliance, etc.
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