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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Lead the development of new fermentation bioprocesses utilizing E. coli as an expression host for production of enzymes for Pharmaceutical Manufacturing & Life Science applications. Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions.
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A general interest in resilience, housing policy, climate change, equity, inclusion, hazard mitigation, emergency management, urban planning, stormwater systems, and building science is preferred.
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This is unique opportunity for an experienced practitioner in data science and to work with cutting edge big data technologies and methods to address the broad range of challenges faced by the enterprise.
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GNSS Analysis: Understanding of GNSS and capable of analyzing GPS vectors' quality within TBC. Measurement Science: Knowledgeable in the science of measurement and experienced in utilizing Least Squares to analyze both conventional and GNSS survey data.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Lead a team of developers with deep experience in machine learning, data pipelines, microservices, and full stack systems. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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5+ years of experience in a technical security role (e.g. Penetration Testing, Red Team, Application Security, Infrastructure Security); or master’s degree in computer science/engineering or related cyber field, and 2 years of relevant experience.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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7+ years of commercial structured cabling, low voltage, or data cable installation experience. o IT Closet Builds (Data rack, ladder rack, cable tray, patch panel, sleeves, 110/66 blocks.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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University Degree/master’s degree in computer science and/or Data Analytics preferred. Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark.
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AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event BridgeData De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LDAWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager.
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Customer Master Data Administrator Lead – Invoice-to-Cash (Hybrid) The Customer Master Data Administrator Lead is responsible for oversight and coordination of the workflow to timely and accurately process credit application submissions for Heidelberg Materials Invoice-to-Cash, North America.
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data science jobs Title: science lead in Garland, TX
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