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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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The Role:The Cambridge Rindge and Latin School, in partnership with the Health and Physical Education department, seeks a Health Education Teacher for the 24-25 School Year. The teacher will report directly to the Coordinator of Health, Physical Education and Wellness and to the principal of the school or small learning community administrator to which she is assigned, as well as to the CRLS PE/Health Lead Teacher.
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As a Principal, you'll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
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Collaborate with the Director of Diversity, Equity, & Inclusion to keep multiculturalism and diversity as a priority of curricular work and curriculum development Ensure that respect for diversity, equity, and inclusion, social emotional learning, and academic excellence are emphasized as core values of The Park School.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
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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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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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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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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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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree. 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features.
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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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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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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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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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big data learning jobs Title: machine learning engineer in Boston, MA
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