- UpvoteDownvoteShare Job
- Suggest Revision
Artificial Intelligence and Robotics, Analytics, Computer and Information Science, Computer Applications, Computer Engineering, Computer Management, Statistics, Software App, Management Information Systems, Information CyberSecurity, Information Technology.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Role: Machine Learning Engineer.
$70 - $80 an hourExpandUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s Degree or higher in Computer Science, machine learning, science, math, statistics, engineering field, or equivalent work experience. Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
$132,600 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases. Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Utilize Hadoop technologies, Data Science, Data Engineering and Machine learning capabilities. Responsible for assisting helping the Chief data office and enterprise business teams build data models, data pipelines and if necessary, build and operationalize machine learning models to draw insights from the datasets.
$140,000 - $231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
An Associate degree in a criminal justice, criminology, forensic science, social science, or physical science field plus one (1) year of the required experience will meet the education and experience requirements.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Working under general direction of the Principal Investigator, this position provides analysis and develops and evaluates natural language processing and machine learning algorithms to leverage electronic health record data to support clinical care and research in the neuroscience.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Principal, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD 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.
Full-timeExpandUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
RemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We seek a Data Scientist to work closely with our Director of Applied AI to develop and implement advanced data analytics and machine learning solutions to support the firm’s strategic goals.
$115,000 - $143,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
computer science machine learning jobs Title: analytics manager in Dallas, Norwood, Massachusetts
FEATURED BLOG POSTS
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
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.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?
Why Cover Letters Are Important & How To Write One | Job\Searcher
Most people completely waste their cover letter real estate. Your cover letter is another opportunity to speak directly about how your background and capabilities align with the opportunity you seek. It also allows you to introduce your personality a bit more than a resume does. So, why are cover letters important? Because you can stand out, big time, with a custom cover letter directed to the right person.
Hiring Again After Mass Layoffs
It's never an easy decision to let members of your staff go, but depending on the state of your business, mass layoffs may have been the only way to survive. Now that you're months into the future, you may find yourself itching to start hiring again after previous layoffs.
Why Are Internships Important & How Can You Get One?
Internships are for college students or people who have just completed their degree. If you are a student or recent grad, you may be wondering how to land an internship. If you've never had one, you may even wonder if you need one. After all, didn’t you work in that call center while also doing exams? Or perhaps you’ve bartended your first year in college?