- UpvoteDownvoteShare Job
- Suggest Revision
We are seeking expertise in the following areas - candidates with wider skill range will have advantage: Cloud, Exadata, Real Application Clusters, High Availability, Data Guard, Recovery, ZDLRA, Performance, Memory Management, Database and Query tuning, Storage, ASM, Golden Gate, Security, Networking, Enterprise Manager etc.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Receive internal training on tools, technology platforms (Python, R, SQL, Excel) and modeling processes, learn how to apply theory to actual client project work, and hone business skills and applications of Data Science skills on business problems.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
We are working with a client in the education space that is looking for a Director level Data Scientist to oversee their Artificial Intelligence initiatives. This individual will be leading a small team of Data Scientists that will work on projects related to admissions, retention, and financial outcomes.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience entering social science data into databases, assisting with statistical analysis of social science or business data, and using basic computer programming languages and statistical software packages.
Part-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.) Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Microbiology Series (0403): Degree: microbiology; or biology, chemistry, or basic medical science that included at least 20 semester hours in microbiology and other subjects related to the study of microorganisms, and 20 semester hours in the physical and mathematical sciences combining course work in organic chemistry or biochemistry, physics, and college algebra, or their equivalent.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Learning Objectives: The fellow will have significant opportunities to build on their background in basic plant physiology/biochemistry and molecular biology as well as learn new skills in remote sensing, phenotyping with unoccupied aerial vehicles, and data analysis.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
10+ years of hands-on working experience in Data Science capacity, three years working with people data – CRM, identity graphs, ad-tech/mar-tech log-level data, respondent-level panels, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
ExpandApply NowActive JobUpdated 3 days ago
data science jobs in Columbia, MS, Pennsylvania
FEATURED BLOG POSTS
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.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.