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2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. Amazon is looking for a passionate, talented, and inventive Data Scientist with a strong machine learning background to help build industry-leading language technology.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 2 years professional experience in cyber threat intelligence, open source intelligence, or data analytics. Experience with data architecture and enablement platforms such as AWS, Azure, GCP, or Snowflake.
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As a Lead Data Engineer on TikTok's Tools and Reporting team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem that impact user communications, content operations, content programming, music, and user support.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Opportunity:We are seeking a Data Scientist to help drive development of the next generation of laser-based analytical instrumentation capable of high precision, high accuracy molecular analysis of complex gas mixtures.
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In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies. Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques.
$157,040 - $203,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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Data Science Manager. Establish operational objectives and work plans for the Data Science/Computational Linguistics group that meet the strategic objectives of the AI team. Experience with big data, including Apache Spark and Hadoop.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Experienced/advanced in identifying the most appropriate data engineering methods and tools for a particular use case and project. Key data sources are eSystems used within the Quality Management System such as Trackwise, onePLM, SLMS, Quickbase and QARAD. Primary tools used by the team include Azure Data Factory, Databricks, Azure Dev Ops and Power Platform.
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Our mission is to drive monetization and sustainable revenue growth for TikTok through data science. We're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
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Proven project management skills, including implementing, documenting, and communicating optimally with collaborators and partners during requirement gathering, data modeling, and visualization.
$95,000 - $119,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will be responsible for designing, building, and maintaining data pipelines using technologies like Fivetran, Azure Data Factory and Python into our Snowflake data warehouse and transforming the data using tools like dbt and Coalesce.
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Must have expertise in NX/other CAD data migration from legacy system/s to Teamcenter PLM. Must have in depth knowledge on Teamcenter PLM architecture and data import - export utilities from data migration perspective.
$200,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ensures that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency, including planned preventative maintenance of equipment, daily corrective work, and emergency response.
$130,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
data job Title: data project manager Company: Crowdstrike in San Jose, CA
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).