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Experience integrating different data sources by utilizing data modeling tools and software (e.g. SQL, Python, SparkSQL, PySpark) and data visualization tools(e.g. Tableau, ThoughtSpot.
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A Staff Scientist in our Safety and Industrial Hygiene practice group works with clients and colleagues to get projects done on time, on budget, while building meaningful working relationships.
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Due to the unique complexities of the business such as technology and data security, it is time for a new partner with the appropriate expertise and resources to invest in the future growth of Kodiak.
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Working knowledge of data visualization or reporting tools such as Tableau, Google Data Studio, Power BI, or QLIK. Minimum a bachelor’s degree in a quantitative field such as mathematics, statistics, data science, physics, computer science, or engineering, etc.
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3+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake and/or equivalent cloud data technologies and platforms. Data Solutions Engineer will support one or more divisions of Brown & Brown in defining their data strategy and in the design and delivery of the data solutions necessary to support the data strategy.
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RCDD, BICSI DCDC, CDCDP or PMP or related Data Center Facilities Design certifications are a plus. 3 to 7 years of relevant data center facilities design and build project management experience.
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Work closely with Regional Privacy Counsel, relevant Legal Teams and Global Privacy team to support business units in the event of personal data incidents and privacy complaints from a data subject and/or regulator.
$123,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Leverage ETL tools like SSIS, ADF, and DBT for data transformation. 5+ years of experience in data engineering or a related role. As a Data Engineer I, you will play a crucial role in designing, developing, and maintaining our data pipelines.
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You have 5 or more years of experience using Python, SQL, Databricks, Spark, with Big Data. Cloud-based data platforms, including Databricks and Snowflake. Additional data engineering work will impact the search, retrieval, processing, tagging, and publishing of curated data sets, with a focus on improving ML model performance over time.
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3+ years’ experience working with Cloud technologies, such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies. Uses Azure services, such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, DeltaLake to improve and speed delivery of our data products and services.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Working knowledge of Microsoft Azure Data & Analytics IaaS, SaaS, and PaaS services (Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure HDInsight + Spark, Azure Cosmos DB a plus, Azure Stream Analytics and Azure SQL DB.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Job Title: Data Scientist with AI/Client. Provide Subject Matter Experts (SMEs) support on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
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The Medicare Risk Adjustment Advanced Analytics team is searching for a highly motivated and collaborative person to build new data processes, expand technology capabilities, and enable analytics.
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Title: data scientist Company: Intuit in Allen, TX
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