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Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Sr Data Scientist, you’ll join a Data Science team responsible for building and enhancing Target’s digital testing capabilities. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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WSP is currently initiating a search for an Early Career Data Scientist/Developer (SQL & GIS) for our Baltimore office. Development background and in depth experience with SQl, R-Shiny, Python languages PostgreSQL/PostGIS, SQL, MSSQL, Hadoop, or Oracle geodatabase design and data structures.
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Search and Discovery drives the lion share of revenues within one of the largest and fastest growing e-commerce platforms on the planet, Coupang’s Search Analytics team offers countless ways for an ambitious data scientist to make an impact.
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Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Data Scientist. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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As a Lead Data Scientist - Experimentation, you'll join a Data Science team responsible for enhancing Target's digital testing capabilities. JOIN TARGET AS A LEAD DATA SCIENTIST - EXPERIMENTATIONAbout Us:Working at Target means helping all families discover the joy of everyday life.
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Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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0-1 years proven experience in SQL, R, Python software development and data science skillsets and Agile mindset. Hands-on knowledge of enterprise Geodatabase (PostGIS, MSSQL, or Oracle) design, deployment, operations and maintenance, model builder, Python scripting, data ETL and full suite of spatial data analytics (Network, Spatial, 3D, Geoanalytics, Operational Analytics.
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Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.) A Senior Data Scientist solves complex problems that do not yet have solutions in the research.
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Data Scientist, Fresh or Recent Graduate Lahore, Pakistan. Python, NodeJS, React, Express⁃ Experience in sophisticated data-related methodologies like Data Modeling, Validation, Processing, Hadoop, MapReduce, Mongo.
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Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software/product with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
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Extensive hands-on programming skills in Python with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala. A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale.
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The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
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Join our dynamic team as a Senior Data Scientist, spearheading innovative data science and IoT solutions for Smart Store, Asset Protection and Store Inventory Systems. We are looking for a Sr. Data Scientist to INVENT and SIMPLIFY the way we manage Store Inventory, protect our in-store assets (people and products) and build connected Smart Stores, all to make life better for hundreds of thousands of Store Associates and millions of Customers.
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