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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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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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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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.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Possible courses include introduction to forensic science, crime scene investigation, principles and practices of science and law, crime scene photography, death investigations, and DNA profiling.
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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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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support Enterprise Risk and Compliance global program development in the data science arena. This position is responsible for overseeing the advanced analytics and data science functions developing a deep technical understanding of the way the Enterprise Risk and Compliance programs and systems are designed.
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St. Edward's University, a nationally ranked, independent Catholic university and Hispanic Serving Institution (HSI) invites applications for adjunct faculty to teach one or more sections of forensic science courses, beginning August 2024.
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5+ years combined work experience and/or advanced education in developmental psychology, social science, lifespan development, minor safety and wellbeing policies, behavioral or social science, and preferred experience in content policy, brand safety, tech policy, public policy, social media, and/or Trust & Safety.
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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Management and Integrity: Maintain data accuracy in the Workday Adaptive Planning tool by managing non-labor access and ensuring data integrity across all financial processes.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and people analytics focus areas. Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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data science jobs Title: data science quantitative analyst in Austin, TX
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