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Knowledge on Natural Language Processing (NLP) and data science. Knowledge on Natural Language Processing (NLP) and data science. Should have very good experience as QA lead and know how to work on generative AI model.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in statistical programming languages (R or Python) and common data science approaches (e.g. Causal Impact, Logistic Regression, Markov Model, etc) is a plus. 10+ years experience in a relevant field, such as analytics or data science, performing quantitative and technical analysis, ideally with experience in marketing, construction, or retail.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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As the Research Scientist, you will be an innovator with broad and comprehensive knowledge applicable across disciplines; primary responsibilities include scholarship, project management, proposal writing, data analysis, collection.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Be the primary individual responsible for designing the best-in-class processes for fx and intercompany management and recommend design solutions for state of the art systems and tooling whilst working very closely with our Engineering and Data Science teams.
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Broad in-depth knowledge of the Source to Contract process, ideally in functional operation as well as implementation and the associated sub-capabilities which include, ESG, Third Party Risk Management, Contracting, Sourcing, Data Science and Analytics.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with large scale data processing frameworks like Hadoop, Spark, EMR, etc. Bachelors in Computer Science, Electrical/Computer Systems Engineering or a similar math or engineering discipline.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree, in Computer Science, Information Technology, MIS or a related field of study is required, 10 plus years of experience in a leadership role within IT, preferably in the media and entertainment industry, or any equivalent combination of education, training, and experience which provides the requisite knowledge, skills, and abilities for this job.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You’ll work with a knowledgeable and supportive group of professional staff to support projects through data collection and management, data review, development of technical reports, calculating emissions estimates, and so much more.
$48,000 - $94,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Finance, Accounting, Data Science, or a related field. Proficiency in SQL and experience with data visualization tools (such as Tableau, Power BI, or QlikView.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Or software programming Spring boot, Microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills For data Science/Machine learning Positions.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Vice President - Data Delivery is a strategic data partner to the Claims, Service Operations and Digital organizations, helping to advance the state of their data strategy and data architecture, and is accountable for the development and maintenance of the analytical data assets used by business intelligence and data science consumers within the organization.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. 4+ years of related work experience in the field of Data Science & Machine learning.
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You will be pivotal to the growth of our data science team and instrumental as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
$100,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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You have a rock-solid foundation in Computer Science (data structures, algorithms, software design). Experience with Big Data and technologies such as Map/Reduce, Hadoop, Pig, HBase, Hive.
$147,520 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
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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.
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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).