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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Senior Data Scientist. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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PhD (or equivalent) in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Master's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
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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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Utilization of embedding models and Vector DBs to transform and store natural language data. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data Narration and storytelling with demonstrated ability to present to executive audience.
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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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Job Description Summary Performs highly complex (senior-level) hydrological, meteorological, and earth science work for the Texas Water Development Board’s TexMesonet program, which operates and maintains a network of earth observations stations across Texas and publishes information at www.
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We are seeking a highly skilled and experienced Senior Data Engineer to join our HR Data and Analytics Team. As a Senior Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
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Experience: Three years of full-time experience working in the following (or closely related) fields: records management, archival science, library science, government (state) records, business administration, workplace learning, or client relations.
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Partner on and serve as the data science and technical lead for demand forecasting and the burgeoning demand planning function. Bachelor’s degree in analytical field (Business, Economics, Finance, Mathematics, or Data Science) or equivalent experience.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Bachelor's degree in Finance, Accounting, Economics, Computer Science, Data Analytics or related fields from a four-year university. Experience with reporting, data and dashboarding platforms - Microsoft Power BI, SAP BOBJ, Tableau, Alteryx, Snowflake.
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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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A degree(s) in business, communications, marketing, public relations, government affairs, political science, technical area of specialty or relevant field may be substituted per LCRA guidelines for certain years of experience.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Have 7+ years of experience as a data engineer, with a strong background in designingand building large-scale data pipelines. Are well-versed in various data storage technologies, including distributed file systems(e.g., HDFS, S3), databases (e.g., Cassandra, HBase), and data warehouses (e.g.,Redshift, BigQuery.
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data science jobs Title: senior data engineer in Austin, TX
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