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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Tracks emerging study data and works closely with data science team to ensure the effectiveness of tools and data quality. o Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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We provide enterprise level information technology services including network management and security; computer operations; application hosting; desktop provisioning and management; and modern and responsive digital services to 40,000 internal stakeholders plus the residents, business owners and visitors to the Commonwealth of Massachusetts.
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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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Expertise in DevOps, DevSecOps and emergent experience with DataSecOps and Data Governance practices — deep experience with managing and scaling container-based infrastructure-as-code technologies from the CNCF.Ability to transform business requirements into production-ready software componentsStrong end-to-end ownership, autonomy, and a good sense of urgency to enable proper self-prioritizationProduction experience with modern observability tools (Prometheus, Grafana, Datadog, etc.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Knowledge of modern programming languages such as: Java, Spring Boot, Node JS, React, JavaScript/jQuery, TypeScript. Extensive experience with modern HTML, CSS, JavaScript, TypeScript and React.
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modern big data jobs Title: data science in Cambridge, MA
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