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Qualifications Bachelor degree in Computer science, Engineering, Finance or Quantitative finance Minimum 8 years of hands-on experience as BI Developer Minimum 5-year production experience with BI technologies like Tableau, AWS Quicksight, Microsoft Power BI, Oracle BI. Knowledge of SQL queries and experience in working with data-bases – NoSQL and/or Relational.
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3+ years of experience in data science, including hands-on experience in data analysis and model design, development, and execution. Proficiency in project management methodologies to ensure the efficient execution of data science projects, including resource allocation, timelines, and project prioritization.
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Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. hands on Python and R programming expert for converting some R code base leveraging SnowPark.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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4+ years hands-on data science experience. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA.
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Hands-on proficiency with Python, Spark, Java, Azure/GCP, Kafka (or other messaging services), and relational databases (MySQL, Oracle etc. Build data ingestion processes to maintain Data Lakehouse on Google Cloud Platform and Azure.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands on keyboard experience with Ad-Servers (Google Campaign Manager) and Media Ocean (Prisma) Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$45,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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At least 7 years of experience as a Client Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS. Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc.
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Require Bachelor of Science in Computer Science/Engineering, Computer Information Systems/Technology/Science, Database Engineering/Administration, Data Science/Analytics, or related fields and 5 years of experience in the job offered, software engineer/developer, technical lead/manager, systems/data engineer/analyst/developer, associate/consultant, or related field.
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Demonstrated experience in support high velocity technical support - Strong Computer Science fundamentals in Data Structures, Algorithms, Complexity Analysis, Object-Oriented Design and Designing Large Scale Data-Intensive Applications Nice to Have Skills / Preferred Requirements - Experience in Java, python, SQL. - Experience in ELK Stack (Elasticsearch, Logstash, Kibana) or Prometheus + Grafana.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Make sure the candidate is hands on and can write code online using openai console.
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Performs hands-on IDR data query work and/or guides others in needed data queries, data engineering, and data analysis. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift. The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research.
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Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. Hands-on experience with SQL and Business Intelligence (BI) tools.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Work on the latest applications of data science to solve business problems. Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau.
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data science hands on jobs in Dallas, NV, Canada
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