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Expertise in Apache Spark for leveraging big data best practices, and familiarity with data integration techniques to connect Databricks with visualization tools like PowerBI or Graphana.
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Build scalable data frameworks required to support data science, analytics, streaming pipelines. Experience with one or more batch and real time data frameworks such as Apache Spark, Flink, AWS Glue, AWS EMR, Kinesis, Airflow, DBT etc.
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Technical diploma in Funeral Services or Mortuary Science preferred. Bachelor's degree in Mortuary Science or other degree as required by state/province law and as prescribed by each state board.
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In this role, you will drive forward the patent prosecution and maintenance for Takara Bio USA. You will report directly to the CSO / Head of R&D, providing invaluable guidance and recommendations with sound knowledge and strategy.
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ASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best process window enhancement solution for the next generation HighNA EUV scanner, as well as best process window control solution to mitigate the process variation during the scanner operation, providing holistic solution for advanced nodes in semi-conductor industries.
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The Adobe Document Cloud Data Science team is looking for Machine Learning Engineer who can apply computer vision techniques and help us build solutions that will drive the success of our Document Cloud business.
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IBM provides you with the most comprehensive and consistent approach to development, security and operations across hybrid environments—with complete software solutions for business and IT operations, development, data science, security, and management.
$93,120 - $102,432 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in front-end technologies, including HTML, CSS, JavaScript, and Python-based frameworks (e.g., Django, Flask). Develop and maintain the front-end of applications using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Django, Flask.
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Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL; Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning.
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Expert in thin film metrology and analytical techniques, and statistical data analysis. Ph. D. in Materials Science/Engineering, Chemical Engineering, Chemistry, or Physics, or M.S. in same with 3+ years’ experience.
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Digital : Data Science, Digital : Deep Learning, Digital : Machine Learning, Digital : Natural Language Processing (NLP) Other Skillets (Good to have) Programming skills in Python Experience with Cloud Platform (Azure/AWS/GCP) Experience with data Visualization (Tableau/Thoughtspot) Strong Analytical skills – has ability to scope out business problems to be solved.
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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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A few years of structured problem solving experience (MBB, VC or PE experience preferred) followed by a few years as an operator (in data science, business operations, data analytics, product analytics or related.
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Apply locations San Jose, California time type Full time posted on Posted 3 Days Ago job requisition id R-100936 Senior Data Center Manager. Senior Data Center Manager page is loaded.
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Solid knowledge and experience working through the entire Digital Design Flow: Specification definition, RTL Verification, Synthesis, P&R, Gate-Level Verification, Power Estimation, ATPG Generation and Simulation, AMS Sims, etc.
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data science r python jobs Title: reporting manager in San Jose, Maumelle, Arkansas
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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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
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Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
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"Nothing we do is more important than hiring and developing people."
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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!
4 Talent Acquisition Trends Going Into 2023
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.