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You have a rock-solid foundation in Computer Science (data structures, algorithms, software design). Strong understanding of (one or more of the following): Java, Python, Scala, system design, distributed systems, web services, cloud infrastructure.
$147,520 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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You have completed a Ph. D. in Computer Science, Machine Learning, Biotech, Engineering, Physics, or related disciplines/equivalent research experience, preferably with a focus on life science or biotechnology applications.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bachelor degree in Computer Science, Management Information Systems, Information Systems, or Business Administration. In depth knowledge with SSRS and other computer database/reporting tools preferred.
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A bachelor s degree in IT, Computer Science, Information Systems, or a related field. Constantly operates a computer and other office productivity machinery, such as a computer.
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Requires a BS degree in Electrical/Computer/Systems Engineering, Applied Mathematics, Computer Science, Physics or related field and 8 - 12 years of prior relevant experience, or a Masters with 6 - 10 years of prior relevant experience.
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The Integrated Solutions Division is seeking a Digital Signal Processing Engineer in Las Cruces, New Mexico to research, design, and develop signal and image collection, and processing and dissemination systems.
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Bachelors Degree in Data Science, Computer Engineering, Mathematics, Statistics, or related field. Previous experience with AS400 systems, Oracle and Snowflake. Using tools like Alteryx and SQL Server Management for data mining and exploration.
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BS in Computer Science, Computer Engineering, Computer Graphics, Math, Physics, or related technical field and a minimum of 4 years of directly related experience required or Masters degree and a minimum of 2 years of directly related experience.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow.
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Bachelor’s or Technical Degree (computer science, information systems, software engineering or other industry related curriculum). This includes software, hardware, network, telecommunication systems and basic desktop support matters.
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Associates degree in Computer Science or related field and two (2) years experience in computer applications and/or systems analysis; OR, four (4) years of experience in computer applications and/or systems analysis.
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Related curriculumSuccessful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance.
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Basic Qualifications :•BS in Computer Science, Software Engineering, Computer Engineering, or equivalent STEM field rom an accredited college in a related discipline, with 5 years of professional experience; or 3 years of professional experience with a related Masters degree.
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BA or BS in in Economics, Statistics, Mathematics, Business, Computer Science, Information Systems/Technology, GIS, or Business Intelligence Analytics. BA or BS in in Economics, Statistics, Mathematics, Business, Computer Science, Information Systems/Technology, GIS, or Business Intelligence Analytics.
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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.