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Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services Bonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.
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Data engineering: SQL using Postgress and Snowflake; Spark, Hadoop. A top-notch Data Scientist would be involved in exploring, defining, selecting solutions and developing novel concepts for various business needs.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) This Data Scientist will work in a well-structured, team environment acting as the predictive and prescriptive model development SME for the Analytics team.
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Title: Data Analytics Engineer (Data Scientist/Architect) Strong working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
$65 - $75 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Highly proficient in R, Python, SQL, Spark, and other big data tools. Often large and complex data assets from different parts of the business. Combine, explore and draw insights from data.
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Identifiesand interprets trends and patterns in complex data sets to enable thebusiness to take data-driven decisions. Guidesand coaches other chapter colleagues to help solve data/technical problemsat an operational level, and in methodologies to help improvedevelopment processes.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Sr Data Scientist@ Atlanta, GA. Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers.
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2+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Strong coding experience in Python, in a data science context and a good grounding in SQL. Any Databricks, MLFlow and Spark experience would be advantageous. The Data Scientist is a technically excellent problem-solver responsible for providing in depth analysis across our diverse portfolio in addition to building and maintaining Machine Learning models on the Group Claims Data Platform.
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Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Experience with building AWS cloud-native data science applications.
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Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.) As a Data Scientist, you will be partnering with the Product, Sales, Customer Success, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses.
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Metas Solutions has an "immediate" opening for an experienced Senior Data Scientist/Machine Learning Engineer to work Remotely. Experience in Spark - Databricks or EMR. Transforming and converting data science prototypes.
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