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Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.
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Experience in DevOps, CI/CD integration, data modeling and mining, large-scale enterprise MDM implementation, HL7 messaging standard (version 2. Should have an in-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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Responsible for leading modeling projects end to end and applying data mining capabilities to aggregate, validate and disseminate actionable insights around power & energy markets, target customers and competitive strategies.
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Essential Functions: Primary engineering responsibility for mechanical design tasks such as requirements analysis, specification generation, interface definition, component selection, component 3D CAD modeling, data collection, thermal and structural engineering analysis, Product documentationGeneration of Technical Data Package components (Part and Assembly drawings, electrical harness drawings, system level RF and comms drawings, Installation/outline customer drawings, etc.
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Current examples are 1) research and appropriate categorization of securities owned by our insurers for correct Statement placement, 2) RMBS and CMBS modeling reconciliation and process and 3) Eagle release testing and implementation.
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1+ year experience in industry working with Customer, Content, or Product data modeling. Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
$151,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling. Technology:SQL Server, Snowflake, Azure Cloud, ADF, Azure Functions, Python, PowerBI, Log Analytics, App Services, Event Hubs, DBTMinimum Experience and KnowledgeSolid understanding and implementation experience of data vault 2.0 methodology.
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5 to 8 years of experience with commercial lending data; Commercial Real Estate (“CRE”), Commercial and Industrial (“C&I”), Construction, and Asset-Based Lending (“ABL”). 3 to 5 years of experience with ALLL/CECL modeling requirements.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in data modeling tools such as Erwin Data Modeler. Data Modeling: Cognos Data Framework Manager. ETL and Data Integration: Informatica IDMC, Informatica ETL.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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By using SQL, Tableau, and Looker to create more sophisticated predictive modeling techniques and data visualizations to provide better revenue projections. If you’re doing Financial Planning and Analysis modeling inside a big media or ad tech company, come take your programmatic game to the top.
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Understanding of database design concepts (Pluggable DB’s) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB’s like Elasticsearch incorporating multi-master across multi-regions.
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data modeling jobs in Weehawken, NJ
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