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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Managed Azure cloud infrastructure, including Databricks for big data and AI/ML in corporate finance. As a Sr. Lead CloudOps Engineer on Stryker’s Finance Data Science & Engineering team, you are set to lead at the convergence of cloud computing, AI, and financial analytics.
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Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.) Experience developing analytic techniques such as forecasting, predictive modeling, segmentation analysis, simulation modeling, and data mining.
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Understanding and capabilities with Python, R scripting and other advanced data coding languages. Experience with advanced ETL tools including Tableau Data Prep, PowerQuery, SQL Server Reporting Services and others.
$70,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. Roles & Responsibilities:The Underwriter III is responsible for analyzing highly complex financial and credit information according to internal underwriting standards, investor guidelines, and federal regulationsUnderwrites a wide variety of product and loan types with a higher aggregate credit exposure including underwriting exceptions not determined through DUCompile, analyze, and document loan data and credit risk, borrower and property information.
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All pharmacies carve out a medical plan – your health plan is not paying for those pharmacy claims – CVS Caremark, Optum, and Client are big 3. Right now HM works for finance VP that is where data and reporting and PBM resides.
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This Data Science Analyst will be a part of Big Data initiatives that will include data mining, data mapping, maintaining quality assurance around their raw data, and setting governance around processes moving forward.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list. Cutting edge sales tools, including a data management device with CRM software.
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Proficient in creating and optimizing big data correlations using Splunk search language (SPL). We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide.
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Apply a Kaizen (continuous improvement) mindset in day-to-day tasks and projects - big or small. Prepare and submit financial change and master data requests, and liaison with other departments for processing of any adjustments.
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Position Summary: PACCAR Technical Center Advanced Analytics is looking for a Data Engineer interested in leveraging big dat technologies to gain insights into our customer experience. Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies.
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From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.
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Significant experience with, or deep understanding of, programming (Python, SQL) and big data (Scala, Spark) Proficient in dimensional modeling, ETL (including SSIS), reporting tools, data warehousing (Redshift & Snowflake), structured and unstructured data, relational databases (SQL Server & PostgreSQL), graph databases (Neo4J), and NoSQL databases (MongoDB & DynamoDB.
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