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We are looking for Data Architects and Senior Consulting Leaders with a strong background building modern data & analytics solutions. Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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As an Associate Data Scientist at IBM, you will work to solve business problems using leading-edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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As a Senior Data Engineer, you will play a pivotal role in designing, developing, and maintaining scalable and efficient data solutions using Azure services. Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Databricks (ADB), and Azure Stream Analytics.
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Knowledge of data security, privacy, and compliance standards (e.g., HIPAA, PCI-DSS). 7+ years of demonstrable experience performing architecture design, end to end solution delivery, implementing IT process improvement as a Data Architect, Database Administrator, or similar role designing and implementing data platforms.
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We are looking for a Senior Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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As a Senior Modeler/Data Scientist, you will play a crucial role in developing and applying dynamic and mechanistic biogeochemical models to predict weathering rates and track the fate of weathering products in river and ocean systems.
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It is a fascinating time to be a Data Scientist in the music industry, and the successful candidate will have the opportunity to work on leading industry topics such as Fraud Detection, Generative AI as well as more general business problems such as User Segmentation and Retention Modeling.
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Senior Azure Data Engineers. 5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Monetization: as a Data Scientist on the Monetization team, this role will support critical pathways for the business that help our users identify and purchase the right plan for their use cases.
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How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one. Resilience is looking for a Data Science/Machine Learning engineer that will focus on quantifying and communicating risk and mitigation strategies.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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In this role the Senior Advertising Data Scientist will support the entire product development lifecycle for our advertising systems from feature ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle.
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data job Title: scientist senior associate in Queens, NY
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