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As a Staff Data Engineer, candidate will be part of a Data Engineering team that is focused on making critical data at available to our business teams. A Staff Data Engineer will design and develop highly scalable and extensible data pipelines which enable collection, storage, distribution, modeling, and analysis of large data sets from many channels.
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Work with several large and complex databases using Google Big query including sales, product, and customer data to synthesize insights used for decision-making; providing actionable takeaways and point of view when presenting business cases to senior leadership.
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Analysis and data visualization, budgeting and forecasting. Non-profit accounting, public accounting experience, and/or consulting experience is a plus but not required. Serve as the outsourced Controller/CFO for multiple non-profit clients.
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Machine learning core. Utilize high-resolution intravascular imaging modalities such as intravascular ultrasound (IVUS) and optical coherence tomography (OCT) to co-register molecular imaging data with anatomical images.
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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, etc.
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Knowledge of hyper-scale data centers, fiber optic or copper data cabling is a plusRCDD is a plusRevit or AutoCAD is a plusAudio-visual and security competence, consulting and design is a plusOur Flexible & Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Navigates complex data systems and structures to ensure a streamlined visualization of the Massachusetts SHA and SHIP.•Participates in projects related to the data modernization initiative and implementation of the Strategic Plan to Advance Racial Equity.
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Job Title: LMS (Learning Management System) Administrator & Training SpecialistLocation: Remote (EST) Join our team as an LMS Administrator & Training Specialist! You'll be responsible for the daily operation, maintenance, and support of our Learning Management System (LMS.
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The role will plan and help manage investor calls, meetings, project management, database management, technical editing/writing, and data analysis. Overseeing the organization of and updates to the fundraising virtual data rooms.
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Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, R and Python.
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Data-led, with earned ideas at the core, the agency deploys leading and emerging technologies to inform strategy, develop critical insights and heighten impact across sectors and specialty areas, including brand and B2B marketing, healthcare marketing, change management, employee engagement, corporate reputation, crisis management, data and analytics, technology, public affairs, social impact and financial communications.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Keywords: Business Development, RWD, HEOR, Pharmacoepidemiology, Technology Consultancy, Real World Data, Real World Evidence, Epidemiology, Market Access, FDA, Patient Reported Outcomes. KEMIO is currently supporting a small, technology focused health services consultancy based remotely across the US delivering services in Real World Data, Health Economics and Outcomes Research, Epidemiology and Patient Reported Outcomes.
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PTI’s new approach requires synergy between a diverse team of chemists, machine learning engineers, biologists and mass spectrometrists. Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
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big data learning jobs Title: machine learning engineer in Boston, MA
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