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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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The NYCEM Geographic Information Systems (GIS) Unit produces reliable location-based information through the integration, analysis, and visualization of essential data distributed in the form of maps, datasets, summary metrics, and associated applications.
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Has expert knowledge of standard data science and statistical techniquesHas expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual banditsExperience implementing scalable systems (Google Cloud preferred.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. o Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. Experience with data transformation orchestration tools like dbt or Dataform.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team.
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Any one of the data warehouses BigQuery, Redshift or Snowflake, developing data ingestion pipeline. Data visualization/analytics tools - at least one (1) of the following: Tableau, DataStudio, Looker, IBM Cognos or Business Objects.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Maintain an up-to-date understanding of data science topics in the music industry and their impact on our business, such as Streaming Fraud, Generative AI and LLMs. Skills / Requirements:Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's degree preferred.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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3 years of experience building cloud scalable and high-performance data lake / data warehouse solutions using AWS products - S3, Athena, Glue, and EMR. Experience with binary data serialization formats such as Parquet.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Join a healthcare system where employee engagement is at an all-time high.
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data job Title: high science in Newark, NJ
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