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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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Genomics, proteomics, imaging) and 2 years of experience building data visualization solutions. We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering. Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
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Hyundai KIA America Technical Center, Inc. (HATCI) is currently looking for a Junior or Mid-level Visualization Specialist to join our team at KIA Design Center in Irvine, CA. Prepare and translation 3d data to and from applications such as: Alias, Catia, VRED, Blender, Unreal.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Research, prototype and deploy data products using the modernized platform that will integrate the latest advances in data engineering, visualization, Artificial Intelligence and Machine Learning.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
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Proficient with Data Visualization/Modeling. Proficient with Tableau and other visualization tools like PowerBI, Looker, Qlik, Alteryx, Tableau Prep, etc. Data Warehousing and experienced with SQL Server, Oracle, DataBricks, Snowflake, etc.
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Prior experience with Data Visualization platforms (Tableau, PowerBI, or similar) required. It requires the ability to learn new data modeling and data visualization platforms quickly, and the capacity to apply knowledge from diverse sources towards solving cross-functional problems.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Areas of focus include synchrophasor technology, next generation control center functionalities, cyber security testing, new visualization approaches, DERMS platform evaluation, data analytics, as well as modeling and simulation, including via a Real Time Digital Simulator (RTDS) with hardware-in-the-loop testing capability.
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10+ years experience developing data visualization tools such as Tableau or Microsoft Power BI. 5+ years of proven experience in Data Engineering, perfect understanding of Databases, Cloud Technologies, Data Modelling, ETL, Data Layers, Data Governance, Master Data and Metadata Management.
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Data Engineer | Data Scientist | Technical Analyst | ETL | Data Warehousing | Python | SQL | Tableau | Ad Tech | Data Pipelines | Automation Scripts | Data Visualization.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the clients facility.
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Develop large multimodal/foundation models integrating structured and unstructured data including single cell RNA/ATAC/CITE-seq and CRISPR perturbation screens for cell engineering and target discovery applications.
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data visualization engineering jobs Company: Morgan Stanley
FEATURED BLOG POSTS
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.