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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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This role is critical to our success in being able to transform complex data from the Energy Industry into actionable reports and insights using Python and cutting-edge BI tools. Experience with R, SQL, Git, Azure, Databricks, or Docker is helpful.
$120,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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We focus largely on building user tools and applications for other teams to use, most of these are built on top of Yarn utilizing Apache Spark as well as other cutting edge technologies.
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Here at OTS you will be working closely with a group of talented data engineering peers to deliver a cutting-edge data platform, but also have fun while doing it. You will work with a variety of core languages and technologies including Python, Scala, NodeJS, Linux, NoSQL, SQL and AWS services.
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Technical Skills: Sharp skills in Python and SQL. Experience with data analysis tools and platforms (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Power BI, Tableau). Operations Data Scientist Adobe Commerce is at the forefront of e-commerce solutions, providing cutting-edge tools and platforms that enable businesses to create and manage their online stores seamlessly.
$86 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Operations Data Scientist Commerce is at the forefront of e-commerce solutions, providing cutting-edge tools and platforms that enable businesses to create and manage their online stores seamlessly.
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