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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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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
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PurposeWe are looking for a highly motivated individual to fill a 1-year postdoctoral fellow position (with the possibility of an extension based upon performance and project needs/funding) to assist with processing and interpretation of multispectral thermal infrared data of prescribed fires as part of a larger project on active fire (hot spot) detection, fire propagation modeling, 3D plume characterization, and assessing environmental impacts of fires.
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Bachelor's degree or higher preferred in environmental science, biology, ecology, natural resources, geosciences, geography, or related field. 5+ or more years of environmental science experience supporting the transportation industry with working knowledge of TxDOT requirements.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Advanced proficiency in data science tools and programming languages (e.g., Python, R, SQL). Stay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and artificial intelligence.
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We make it easy to find books kids love through school book fairs,book clubs, and classrooms using a unique mix of expert curation and data science. Literati’s current stack (which you will help to define and evolve) includes terraform-driven provisioning in GCP, helm-driven kubernetes hosting for services, a mix of Django, nodejs, and wordpress application servers, and postgres databases in cloud SQL. We monitor using PagerDuty, DataDog, Sentry, and cloud logging.
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AA degree in Computer Science, Data Engineering or related experience. BS/BA degree in Computer Science, Data Engineering. This role will be responsible for supporting the day to day management of our Lease administration software system and other tools used to manage our Real Estate Data Centers and Colocation contracts.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Experience writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases) BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and growacross product categories and geographically.
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data science jobs in Austin, AK, Australia
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