- UpvoteDownvoteShare Job
- Suggest Revision
Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
And employ data science techniques using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.) Responsibilities ResponsibilitiesAnalytical Support Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Participate in a team comprised of DHEC and solution implementation staff for Data Warehousing and Visualization planning, design, configuration, process development, SSIS and script coding, automation of data flows, and transition of functionality into the agency's M. S. SQL Server (2016+) Data Warehouse and M. S. Power B. I. Platform.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
GDIT's Military Health Team is hiring a Senior Research Scientist to support combat casualty care research within the 59th Medical Wing (59 MDW) Science and Technology (ST) office located at Lackland Air Force Base in San Antonio, TX. The 59th MDW advises and conducts clinical and translational research on matters pertaining to the medical aspects of the Air Expeditionary Force and the health of Air Force (AF) personnel and beneficiaries.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Complementary to strengths within UTSA's School of Data Science - and/or high-performance computing is highly desirable. The College of Science and Department of Physics & Astronomy at The University of Texas at San Antonio is seeking exceptional applicants for a full-time tenure track assistant professor conducting research in cosmology and the early universe with technical experience with data science beginning August 2025.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
From Silicon to Systems - We are an elite, multi-disciplinary team, bringing together the brightest minds from physics, computer science, electrical engineering, data science, and mathematics to develop unique cyber solutions for government and commercial customers.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop and maintain scalable, reliable, and cost-effective data solutions using AWS technologies and big data tools like Databricks, Airflow, and Dremio. Proven experience as a Data Engineer, Data Reliability Engineer, or in a similar role in an SRE environment.
$85 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Perform high-level tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Masters/PhD equivalent degree in biomedical engineering, applied mathematics, physics, computer science, electrical engineering, numerical analysis, and/or related fields. Demonstrate knowledge of algorithms/methods used in FEM.
$103,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
For data Science/Machine learning Positions. For data Science/Machine learning. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of a Bachelor of Science degree from an accredited institution, including academic preparation consistent with a major in exercise physiology, exercise science, biomechanics, kinesiology, or equivalent; Masters' Degree preferred.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Education: Bachelor or Master of Science in Civil Engineering, Environmental Engineering, Environmental Science, Geology, Biology, Chemistry, Natural Resources/Forestry, Soil Science, Geomorphology, Hydrology/Hydrogeology.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In 2024, the UT System Board of Regents authorized UT System to begin integrating UTSA and the UT Health Science Center at San Antonio into one unified institution, establishing a world-class university that integrates academic, research, and clinical excellence to build a profoundly impactful university of the future.
$68,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago
data science used cars jobs Company: Carmax in San Antonio, TX
FEATURED BLOG POSTS
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
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.