- UpvoteDownvoteShare Job
- Suggest Revision
Walmart is seeking a highly qualified Staff Data Scientist with a Ph. D. or Masters in Computer Science, Statistics, Artificial Intelligence, or related fields and at least 5+ years of work experience in machine learning.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
RemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
$253,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to solve challenging problems that arise in online advertising.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Job Description We have a great opportunity for a skilled Scientist to join our dynamic TEM (Transmission Electron Microscopy) group. Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You have 10+ years of experience as a data scientist manipulating large datasets, building data pipelines and machine learning models. Apply data wrangling skills toward cleaning data and building data pipelines from which to implement model monitoring dashboards and machine learning models.
$223,285 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
What we need to see:BS/MS/PhD in Physics, Math, Computer Science, Engineering or equivalent experienceStrong leadership skills, excellent communication abilities and collaborative attitudeProven understanding and experience of machine learning, deep learning technology, platforms and landscape Solid understanding and experience of Physics Informed Machine Learning for engineering and science simulations in one or multiple application domains.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
$362,200 a yearFull-timeExpandApply NowActive JobUpdated Today
data science scientist machine learning jobs Title: science Company: Liberty Mutual Insurance in Santa Clara, CA
FEATURED BLOG POSTS
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
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.
10 Importancies of Setting Realistic Goals
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.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
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!