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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Hands-on production environment experience with distributed processing systems such as Spark.
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Big Data implementation using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience with programming languages and tools for data analysis and modeling, such as Python, SAS, R, SQL, Java, C. The FTO is focused on Finance organization-wide technology & tool strategy, as well as prioritizing and executing on key modernization initiatives including automation, analytics, agile transformation, and culture.
$120,400 - $287,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with statistical, programmatic and algorithmic attribution models and how to apply them (Python, R, SPSS). Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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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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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Must have Python, Java, Databricks, AWS/Google Cloud. As a Senior Software Engineer, you will play a crucial role in developing and maintaining our software solutions, with a focus on efficiency, scalability, and innovation.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data science / machine learning algorithms and tools (R, Python, or other development tools) required. Encompassing BNY Mellon's investment management firms, wealth management organization and global distribution teams, we draw on deep expertise to collaborate with clients and tailor our best ideas and resources to meet their specific needs.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working towards a proficiency of one or more programming languages such as Kotlin, Java, Typescript, Node.js, Swift, Go, Python, or Rust. We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us.
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Experience with primary research (e.g. polling, ethnography, focus groups, related fields) or using coding for data analysis (Boolean, Python, R, SQL) Be the subject matter expert on analysis and interpretation of insights who can both explain the analysis at a high level to senior stakeholders.
$85,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Providing industry insight and analytical support using data mining, pattern matching, data visualization, predictive modeling tools, including Python, R, and Tableau, and consolidating the implications to present recommendations to senior management and executives.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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hands on big r python jobs in New York, Norwood, Massachusetts
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