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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Collaborate with the Security and Legal functions to ensure data security and adherence to all data privacy regulations and we are compliant with SOX/audit requirements and significantly raise the bar in terms of data, business process, and access security.
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Certifications: Privacy focused certifications such as Certified Information Privacy Professional (CIPP- US); Certified Information Privacy Manager (CIPM); Certified Information Privacy Technologist (CIPT); Certified Data Privacy Professional (CDPP.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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LI-CW1 Who You Are Required Qualifications Bachelor’s Degree in Environmental Planning, Urban Planning, Geography, Environmental Science, Engineering, or a related field (or equivalent experience.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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What qualifications you will need: Experience 2 years of Postpartum nursing experience as a Registered Nurse (RN) Education Associate's degree Nursing (ADN) from an accredited nursing program Bachelor of Science in Nursing (BSN) – preferred Licenses and Certifications Current State of Texas Registered Nurse (RN) license or Compact Registered Nursing License.
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Working knowledge of computer and software applications used in job functions (Order entry, data input). Responsibilities:The Licensed Vocational Nurse/Licensed Professional Nurse LVN / LPN is responsible for the direct and indirect nursing care of all patients ranging in age from 18 years to geriatric experiencing medically complex conditions, general medical-surgical conditions, with rehabilitation and/or wound care needs.
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Bachelor's degree in Metals Science (Metallurgy or Materials Science) or Engineering or Industrial Technology or Art (Sculpture or Studio Art); or Associate degree in Welding Technology and 3 years non- teaching work experience Required Work Experience (Workforce Programs) Minimum three years non-teaching welding industry related work experience.
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Associate of Science (AS) or Associate of Applied Science (AAS) degree in an Engineering, Science, or other related field with 10 or more years of on-the-job experience related to optical or laser technologies, OR.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor's degree in biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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data science jobs Company: Accenture in Austin, MT, Canada
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