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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Create, maintain, document, and manage a stable database environment for production and development systems including Process Control, ERP, HR, data collection, and miscellaneous applications. Develop strategies for data acquisitions, backups, archive recovery, and general implementation of a database for testing and production use.
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Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist. Pride Health is hiring a Medical Lab Scientist II to support our client’s medical facility based in Portland, OR.
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We're looking for a Lead Data Scientist to join Nike's Global Consumer Data Science organization, supporting the measurement of our Consumer Marketing channels to optimize Nike's marketing strategy.
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Job DescriptionJob DescriptionWe are looking for Medical Lab Scientist for our client in Portland, ORJob Title: Medical Lab ScientistJob Location: Portland, ORJob Type: ContractJob Description:Responsibilities: Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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Responsibilities:Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist. Job DescriptionJob DescriptionPride Health is hiring a Medical Lab Scientist II to support our clients medical facility based in Portland, OR. This is a 3-month assignment (Possibility of extension or conversion) opportunity and a great way to start working with a top-tier healthcare organization.
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Minimum 5 years of experience as a Data Engineer, with a focus on Snowflake, IDMC, and Airflow. We are seeking an accomplished Senior Data Engineer to join our Data Engineering & Data Warehouse team.
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Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker) The Senior Data Analyst will join the Square Compliance Analytics team to transform Square Compliance into an global data-driven Compliance organization.
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Working knowledge of cloud data warehousing tools such as Snowflake or Redshift. Career Opportunities: IS Data Warehouse Architect II (24354) IS Data Warehouse Architect II. Working knowledge/skills of ETL tools, such as SSIS or Azure Data Factory.
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The Oregon Health and Science University (OHSU) Division of Infectious Diseases seeks an M.D., M.D./Ph. D., or M.D./M.P.H. physician-scientist at the Assistant, Associate, or Professor level. Infectious disease-related research at OHSU is a highly collaborative effort that spans the entire University, including but not limited to the Division of Infectious Diseases, the Department of Molecular Microbiology and Immunology (MMI), the Vaccine and Gene Therapy Institute (VTGI), the School of Dentistry, and the School of Public Health.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Typically requires a Bachelor's Degree in Business, Finance, or Accounting and a minimum of 10 years business systems or treasury experience with deep expertise in data analytics, process optimization, technology and data strategy creation, and governance.
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Analytics: The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
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Full-time, Senior Level Professional Scientist. Evaluate/interpret data and prepare detailed reports. years of experience in geological assessments, water supply, water treatment, environmental assessments, contaminant investigation, contaminant remediation, stormwater management, wastewater treatment, permitting projects, or compliance projects in the public and private sectors.
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Data Engineering: Minimum 4 years of experience working with the Hadoop stack for managing large data volumes. Certifications: Relevant certifications in data engineering, cloud technologies, or data management are a plus.
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Title: data scientist Company: Ancestry in Portland, OR
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