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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Technical troubleshooting for tax issues which involves pulling data from databases, reviewing XML/JSON logs, and understanding the error codes being returned by Tax Engines Vertex/Avalara/Trippz.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, 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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Our biodiversity and ecology team supports clients with a wide range of environmental issues including biodiversity and ecosystem services, nature-based solutions, risk and impact assessment, and ecological data science.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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Develop data pipelines, connections, and infrastructure to better enable forecasting and data science modelling. 3+ years of relevant experience in data science and analytics in creating/maintaining financial models for a subscription/SaaS business a plus.
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Critical skills in a few key areas:Digital signal processing, both mathematical foundations and bench experience in either image processing, RF, or opticsBackground in control theory and implementation of control theory algorithmsProgrammatic data acquisition from oscilloscopes and/or spectrum analyzers.
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Position for Sr. Data Scientist Technical Side Needed with HealthCare Or Financial Domain Needed Loc
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Relevant experience within the sports media/streaming media industryEducation:Bachelor’s degree in computer science or related technical field. Working knowledge of developing QA test and troubleshooting plans and strategies for data/analytics.
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Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, dataernance and processes for meeting regulatory and legal requirements.
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Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics.
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data science jobs Company: Expedia Group in Seattle, Highland, Indiana
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