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Applies data mining and modeling, NLP, and ML techniques to extract and analyze information from large structured and unstructured datasets. Bachelor’s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Manages clinical programming team specific to SDTM, metrics and dashboards, data cleaning, ad-hoc reporting, data review, data surveillance and data mining via strategic partnerships with preferred vendors.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.
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As a Senior Data Analyst, you will work closely with the consulting, software development, and model development teams to ensure that our models are meeting the needs of the clients and software as well as capturing the meteorology and atmospheric behavior of the peril at hand.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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Possess a hunter mentality with a proven track record of driving lead generation through leveraging next generation techniques (i.e. mining of LinkedIn, NIH grant/clinical-trial databases), and utilizing other social media channels (Twitter, Instagram and Facebook.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Design, implement, analyze, and report findings from targeted statistical research studies; provide consultation and guidance to researchers on experimental design, statistical research methodologies, and scientific standards for in vivo/in vitro studies, asay development, biomarker researches, and genetics/omics data analyses etc to advance drug development research.
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Maintains an open dialogue with the Trauma Program Manager to discuss issues related to patient care and data collection/reporting. Identifies, registers, and maintains records of all trauma patients by using a trauma registry data system.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business.
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data mining jobs Title: financial analyst in Boston, MA
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