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Design and develop RESTful APIs for internal data consumers using performant API frameworks such as Python Django, NodeJS or similar. Work with various database systems (Postgres, Elastic Search, DynamoDB, CockroachDB, vector databases, data warehouses) and data lake technologies, applying optimization techniques for scalable queries.
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Minimum 5 years of experience in data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Experience connecting directly to data sources and writing your own SQL queries; any Python, Spark, or Databricks experience is a huge plus. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At AssistRx, we are search for a full-time Integration Engineer with the relevant professional qualifications and experience to work with us to design and build our data warehousing and analytics capabilities.
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Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector, JMS source connectors, Tasks, Workers, converters, Transforms.
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Spark, Scala, Python, Hive, Kafka , and other things in the Hadoop ecosystem. MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector, JMS source connectors, Tasks, Workers, converters, Transforms.
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Proficiency in data analysis tools and methodologies, including Python, SQL, and data visualization libraries. Utilize analytics tools to monitor and evaluate the performance of generative content, employing data-driven approaches to enhance search rankings and user engagement.
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Python, SPSS, Stata, SAS, R or similar statistical package capabilities. HTML, Java, R, Python, SQL or similar language coding. Search engine optimization or search engine marketing.
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The goal of the Search Data Science Team is to drive Search product excellence and growth with data insights. You will weave stories with meaningful insight from data.
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Knowledge on Leveraging Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka, and other things in the Hadoop ecosystem.
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Expertise in conversational AI; hands on LLM/GPT; python; design models; semantic search layer, Graph Neural Networks (GNN) We currently have a contract opportunity for a Data Scientist/San Francisco Bay area to lend specific subject matter knowledge to a client engagement.
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Create stubs for producers, consumers, and consumer groups for helping onboard applications from different languages/platforms like Java, Python, C, Microservices, Go etc. Strong skills in In-memory applications, Database Design, Data Integration.
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Work will involve building semantic search engines, LLM fine-tuning, Vector DB applications, and cutting-edge data science work. Develop generative solutions, optimize models, familiarity with frameworks like Langchain, Llama index, LLM open-source models including LLAMA and related frameworks, and proficiency in Python.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Preferred QualificationsExperience in search analysis and business analysisExperience collaborating with large cross-functional teamsExperience in statistical analysis through the use of statistical packages including Excel, SPSS, and SASExperience using Tableau or SupersetExperience using a behavior analytics toolExperience in any of the following programming languages for data analysis and ML/statistical modeling: Python, R, Java, and C.
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