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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. The Principal Data Scientist will be part of a talented team of data scientists and collaborate with financial analysts and cross-functional data, analytics, and enablement teams to improve decision-making within our corporate and business unit-focused finance groups and the business.
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Involvement in acoustics, data acquisition and signal processing is required, including troubleshooting clinical and research ultrasound equipment and approaches to materials characterization. The Department of Radiology within the UT Southwestern University Hospital and Clinics has access to the latest clinical instrumentation and maintains technical development research relationships with several industry partners, with three clinically-equivalent on-site research ultrasound systems with advanced imaging tools and access to raw ultrasound data.
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Investigators in the Department of Radiology have direct access to several basic science laboratories including chemistry labs, a molecular biology lab, a cell culture lab, a small animal imaging lab, and a cyclotron and radiochemistry facility.
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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Job Description & Requirements Specialty: Medical Lab Scientist Discipline: Allied Health Professional Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employment Type: Travel Job Description We are looking for Lab Scientist/Medical Technologist Medical Lab Technician for an immediate opening in Dallas, Texas.
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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TRKKN is a full service provider for the Google Marketing Platform and Google Cloud with an interdisciplinary team of experts from the fields of Digital Analytics, Conversion Optimization, Ad Tech, Advanced Analytics & AI, Cloud Engineering and Tech & Data Strategy.
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The Assistant Environmental Scientist will assist in conducting environmental and siting studies, preparing permitting applications and analyzing environmental data for various types of projects, including high-voltage transmission line routing, power generation construction activities and water treatment facilities.
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data science scientist jobs Company: Ibm in Dallas, TX
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