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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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Extensive knowledge and hands-on experience Kafka Angular / React JavaScript, Typescript, CSS, HTML. Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering.
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O Experience with ecommerce/retail/supply chain data modeling is a big plus. o Strong experience with GCP o Experience with Big Query, Looker Studio o Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and SQL databases (e.g., PostgreSQL, MySQL.
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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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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus. Proficiency in implementing data services including Microsoft Fabric, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
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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.
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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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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). 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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Experience with big data technologies (e.g., Hadoop, Spark) Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards.
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Experience with at least one Visier implementation - deploying Visier as the people analytics platform for an organization or implementing a new data subject to expand Visier capability.
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Data Science, Python, TIME SERIES, NLP, LLM. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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Experience with data visualization tools such as Power BI and Tableau. Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions.
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Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks.
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hadoop kafka big data jobs Title: platform in Texas, TX
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