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Knowledge of data visualization tools like Power BI, Qlik Sense, Tableau or similar. Experience working in data and data warehouse applications ( Star/Snowflake Schema, OLAP , Data Vault modeling etc.
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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Full Time] Senior Data Engineer (Remote, Anywhere) at Mattermost (United States) | BEAMSTART Jobs. Design, deploy, own and maintain best-in-class data infrastructure (Snowflake, Airflow, dbt, EKS, etc.
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Experience creating curated data models using a data mesh architectureExperience with cloud computing platforms such as Amazon Web Services (AWS), Azure and/or Google CloudExperience with building Looker data models (LookML), analytics engineering frameworks like dbt, orchestration tools like Airflow, schema design, and dimensional data modelingThorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift.
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4+ years experience in role/s operationalizing data policies - e.g. data privacy operations, privacy regulatory compliance, security GRC, Trust & Safety function - executing cross-functional organizational processes in data governance/ digital transformation.
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We are looking for an experienced data scientist to join our data science team. Capture and translate biological/clinical applications into ML model requirements and design studies to collect data, train, and validate those models.
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Building data models and develop schemas for relational databases (PostgreSQL, MySQL, MS SQL Server) As a Data Engineer, you will develop services to ingest, analyze, and store plant data and key performance metrics.
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Incharge of design, setup and maintenance of data infrastructure include but not limited to databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. Join this highly motivated team to build and maintain data infrastructure in GCP, AWS to support our cutting edge SaaS security product.
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Experienced with data warehousing solutions (e.g. Amazon Redshift, BigQuery, Snowflake) and data lake technologies (e.g. Apache Hadoop, Spark). Skilled in data integration and ETL tools (e.g. Apache Airflow, Talend.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (e.g., SQL, DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The Master Data Management Analyst collaborates with ITS, Operational Managers and external vendors to ensure consistent data management and accurate information flow to support core enterprise functions, including Supply Chain Automation, inventory management, vendor and recall management, and Non-Labor Spend Savings initiatives.
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Proven at a global web scale in production for modern data services, Alluxio is the developer of open-source data orchestration software for large-scale analytics and AI. Alluxio is in production use today at eight out of the top ten internet companies, and seven of the ten highest-valued companies in the world.
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Advise on compliance across all aspects of global privacy laws and regulations, including data protection, data security and data breach rules. Develop and implement program to facilitate compliance with international data privacy and personal information collection rules, regulations and standards, including the GDPR, CCPA and PDPO/ PDPA.
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Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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data job Title: developer Company: Capgemini Holding in San Carlos, CA
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