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Preferred Qualifications: Master's degree in data science Knowledge of relational databases such as MySQL , snowflake and BigQuery. Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.
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Masters degree in economics, statistics, data science, epidemiology, public policy, demography, or related subject. In collaboration with the project's Capacity Strengthening Advisor the data analysis team is responsible for strengthening capacity of USAID mission and implementing partner staff, host country government, and local civil society's capacity to analyze and use the PBS data once collected.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Data Science/Data Engineer experience ideally with someone that has worked with networks/ also has network engineering background. 10+ years of technical experience doing data science in a Telecommunications company.
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Provide subject matter expertise in informatics, data modeling and design, data science, machine learning (A.I.), clinical workflows, metadata management and Industry best practices in digital health.
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The ideal candidate will have extensive technical lab expertise in Flow Cytometry and will be responsible for the development and execution of high-complexity bioanalytical methods, tech-transfer of methods to established CRO partners, technical operations management and be called upon to review data to ensure assay are fit for purpose including troubleshooting and data analysis.
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10+ years of experience in analytics, data science, or data engineering leadership. Requirements:Bachelor's degree in AI/Machine Learning, data science, statistics, mathematics, or in a related discipline.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data. Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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REQUIRED DEGREE/EDUCATION/CERTIFICATION: Bachelor's degree or higher from an accredited college or university in medical laboratory science, medical technology, clinical laboratory science, or in a related science (e.g., laboratory science such as chemistry, biochemistry, biology, microbiology, immunology, etc.
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We are looking for a Contractor - Sr Engineer - Data Science Engineer for data science innovation. Bachelor's degree in computer science, Data Science or related technical field.
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Ph. D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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As the traumatic brain injury (TBI) Pathway of Care manager within the Military Health System (MHS), TBICoE promotes state-of-the-science care from point-of-injury to reintegration for Service members, veterans, and their families to prevent and mitigate consequences of mild to severe TBI. TBICoE unifies a system of TBI health care, reliably advancing the science for the warfighter and ready to meet future brain health challenges.
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Education and Experience:BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Your responsibilities will include building NLP and recommendation systems, developing data science models for retail, deploying trained ML models to the cloud, and leading model development efforts.
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data science life jobs Company: Kelly in Rockville, MD
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