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Knowledge of data modeling and data visualization tools (e.g. erwin Data Modeler) Demonstrated experience analyzing, refining, and documenting complex system user requirements including functional objectives of system, data sources and availability, report requirements and cross-system integration requirements.
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Significant experience using data science tools and technologies such as SQL and Python, Databricks/Databricks ML, Azure Data Factory, MLOps. Minimum of 15 years of professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, geo-spatial modeling, time series forecasting, optimization.
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Experience with stakeholder management, ETL, data pipelines, effective team communication, product management, data engineering, data management, master data management, agile, intelligence community, and client engagement.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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For Cardiology offices only: 6 months experience working in an ambulatory care medical office or equivalent, OR Bachelor's degree in exercise physiology/science, OR related major or successful completion of a cardiac technician course preferred.
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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.
$130,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Lead efforts to efficiently label DoD component data across multiple modalities, transforming raw data into curated datasets suitable for supervised AI/ML development. Lead and mentor a team of engineers and data scientists in developing and deploying AI/ML systems.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Master’s Degree in a Technical field, Political Science, Business Intelligence, Data Science, or Intelligence Analysis. Hunt Team Members interact daily and provide support to the overall CSOC through a wide variety of industry leading capabilities and data sets to include Endpoint Telemetry data, Live Network Packet Capture, IDS/IPS, Security Orchestration, Automation, and Response (SOAR), Cyber Threat Emulation (CTE), and Data Analytics Platforms.
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COMPETENCIES REQUIRED:General:LSC is accepting applications from current undergraduate or graduate students studying Sociology, Political Science, Data Science, Computer Science, Criminology, Law and Society, Urban Planning, Public Health, or related fields; current law students with familiarity or interest in quantitative analysis are also encouraged to apply.
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Seeking data analysts with experience and interest in data visualization - Tableau Analyst. Experience with "big data" systems or non-traditional databases such as Apache Spark, Hadoop HIVE, Cloudera Impala, Neo4J.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses. PharmD or PhD in the STEM disciplines: bioinformatics, Public Health, Pharmacology, Toxicology, Biology, Biomedical Engineer, biology, biostatistics, epidemiology, health informatics, or pharmaceutical science.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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Performing eDiscovery functions in alignment with the Electronic Discovery Reference Model (EDRM) framework and standard including data collection, data processing, data review, production, and presentation.
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data science jobs Title: data science lead Company: Booz Allen Hamilton in Arlington, VA
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