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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with natural language processing (NLP) and deep learning frameworks TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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Experience with natural language processing (NLP), computer vision (CV), or deep learning (DL) model development. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see machine learning turning data into actions and you want to be part of the team.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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7+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning and related areas. We are looking for a Principal Data and Applied Scientist with experience to build reliable products and make business impact using data analysis, machine learning, experiments, data mining, data visualization, and more.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with any Data Science techniques, Machine Learning, Natural Language Processing is a significant plus. Must have proven experience with analytic and data visualization tool like Power BI.
$115,000 a year depends on experienceFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP) Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analystise in implementing AI-based solutions for voice and chatbots, with a strong understanding of natural language processing and machine learning technologies. Proficiency in building and managing reporting and analytics KPI dashboards, with experience using tools such as Tableau or Power BI.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning/LLM knowledge, Data visualization Python, SQL, Power BI, Statistics, Deep Learning Algorithms & Big Data Technologies (Hadoop as an example), Natural Language Processing, Software knowledge, Automation.
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A Data Intern will be responsible for supporting the company’s Carelon Digital Platforms team. Responsible for developing strategies, programs and solutions based on business priorities, consumer insights and industry trends that support digital strategy.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Enrolled in an approved academic program in Information Technology, Computer Science, Data Analytics, Actuarial Science, Mathematics or a related field of study. Create, gather and assess market requirements through competitive intelligence and emerging trends, stakeholder and consumer feedback.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms; Building machine learning models and systems, interpreting output, and communicating results to internal/client teams and how those outcomes realize business value.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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FEATURED BLOG POSTS
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).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.