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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience in assessing and implementing new data tools to enhance the machine learning stack.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization.
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The Data Warehouse Developer will be accountable for successful design, development, and delivery of Azure Databricks Lakehouse solutions within a SQL Server Data Warehouse environment.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Experience designing eDiscovery databases and reports; reviewing and quality checking database data loads; coordinating complex projects; developing recommendations, plans, cost estimates, budgets, procedures, and specifications for case-specific projects from discovery to trial phase; drafting project proposals and provide status reports; providing end user support and customer service; troubleshooting litigation support firm applications; processing experience a plus.
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7+ years of experience in engineering or data as a software engineering, data scientist, analyst or similar discipline diligently applying principles, practices, planning and theory for backlog and project delivery.
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Background in STEAM, visual, performing arts or sports coaching a plus. Working under the supervision of the lead teacher and site director, use creative / innovative teaching strategies that enhance and encourage an increase in literacy skills, social-emotional learning, and STEAM.
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Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group. Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process.
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As a part of this client-centric team, which is focused on Cartier employee development throughout the talent lifecycle, you will work cross-functionally with various levels of leadership, as well as a variety of subject matter experts within the organization, to identify learning needs, then implement solutions.
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As a pioneer in big data technologies, we offer challenging research opportunities in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, and data privacy.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Demonstrated graphical presentation, and written communication skills Experience in a consulting or professional environment supporting clients is a plus Working understanding of energy market dynamics, and a passion for learning Experience in statistical analysis programs (e.g., Stata and R), Tableau, SQL, and financial databases (e.g., Bloomberg and S&P Capital IQ), with a desire to expand those capabilities.
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Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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learning data a plus jobs Company: Servicenow in New York, NY
FEATURED BLOG POSTS
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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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Email Etiquette Principles - Why is it Important
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
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!