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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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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. You'll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing. Proficient in Excel (data manipulation, vlookup, index match.
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Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models.
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Require EBX and Informatica MDM data model design/customization experience with creation/configuration of master data assets and their hierarchies. Design and build data models, and load the data assets into MDM platforms (e.g. EBX & Informatica MDM hub), leverage out-of-box connectors and APIs.
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Experience in design and development of large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Good understanding of Data integration, Data Quality, and data architecture. The Data Developer will be responsible for working closely with the Business Technology team to code and deliver end-to-end features on Power BI with focus on quality, reliability, and performance.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Set up best practice standards for data engineering in alignment with Bank’s defined Enterprise and data architecture.
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The ACLU seeks a full-time position of Data Operations Director, Volunteer Management System (VMS) in the National Political Advocacy Department of the ACLU's National office in New York, NY. Collaborate on a comprehensive training program for all relevant departments to ensure effective and efficient use of VMS data, tools, services, and technology.
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Lead Data Scientist - Remote. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark.
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You will gain exposure to many facets of the ABS and RMBS spaces, combining information from a variety of sources (loan-level transaction data, deal documents, trustee reporting, etc.) You are able to identify key metrics and transactional details on financial statements, investor reports, and securitization trustee reports and are not afraid to get your hands dirty by diving into loan-level data.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Je hebt kennis van de volgende technieken: Python, R, SQL, Azure Data lake, Databricks of andere relevante technieken. Gevraagd Je hebt kennis van de volgende technieken: Python, R, SQL, Azure Data lake, Databricks of andere relevante technieken.
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Strong technical skills in cloud based and Informatica SaaS technologies, such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Event Hubs, Azure Stream Analytics, Azure Functions, Informatica Cloud products such as Cloud Data Integration (CDI), Cloud Application Integration (CAI), and MDM, Snowflake, Databricks, and Apache Kafka.
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Title: data entry Company: Canada Survey Job in New York, NY
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