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Additionally, you will work closely with the Senior Data Architect to maintain and enhance our current infrastructure (AWS, Databricks, Tableau) to ensure data accessibility for data scientists and analysts.
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The Data Visualization Scientist will require experience building dashboards / visualizations in Tableau or Qlik Sense. We are seeking a highly skilled Data Scientist to work onsite in Pearl Harbor with either a focus on Data Engineering or Data Visualization.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Proven experience in Databricks/Spark-based Data Engineering Pipeline development and Data/Delta Lake, Oracle, or AWS Redshift type relational databases. The data platform is primarily based on Oracle Exadata database and Databricks-based Delta technologies for critical application and business enablement.
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The Data Engineer is a key member of WellNows Data Operations team. Consume and process data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage systems) and file formats (Excel, CSV, XML, JSON, Parquet.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
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You have experience in one or more of the following toolsets: Python scikit-learn, Databricks ML, AWS Sagemaker, MATLAB, SPSS/R.You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like Python, R, Tensorflow/PyTorch, Plotly Dash, Streamlit, R Shiny, Tableau or Power BI. Southern California Base Salary Range: $116,974-$187,158.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. Working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Proficiency to manipulate data using R programming. Develop safety data review plans (SDRPs) with clinical reviewers in advance of initial scoping meetings. Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses.
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Experience with data pipeline development tools in a modern data stack such as dbt, Databricks, Redshift, BigQuery, and Airflow. As a Senior Data Scientist you will partner with our Growth Marketing and Product teams to integrate data science solutions into the overall subscriber growth strategy.
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data job Company: Nationwide Therapy Group in Peoria, Arizona
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