- UpvoteDownvoteShare Job
- Suggest Revision
Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Lead a team of geographically dispersed professionals who will have responsibilities for prototyping and deploying solutions for the enterprise; Areas of expertise will include applied mathematics & statistics, machine learning operations, data engineering, software development, modelling & simulations.
$178,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Leidos Innovation Center (LInC) Quantum Technologies Team has an opening for a Quantum Photonics Scientist with a background quantum technologies / quantum information science, specifically with focuses on quantum optics and chip integrated photonics.
$117,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
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
- Suggest Revision
Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
6+ years of professional experience in software development focusses on machine learning, platform architecture, data science, pipeline development and maintenance of the big data platforms, software, and network systems.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - 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 and OrthoCAD digital services.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. The Director of Infrastructure leads and manages a team of technical experts supporting the growing Aireon product portfolio using the latest cloud technology including DevSecOps, Data Engineering, and Agile practices.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
GDIT is currently seeking a candidate to serve as a FIRST Nuclear Security, Scientist Engagement, and Science Centers Program Analyst in support of the Bureau of International Security and Nonproliferation's Office of Cooperative Threat Reduction (ISN/CTR) at the U.S. Department of State.
$103,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
$6,336 a monthPart-timeExpandApply NowActive JobUpdated 17 days ago
data science scientist machine learning jobs Title: science director Company: Liberty Mutual Insurance in Washington, DC
FEATURED BLOG POSTS
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.