- UpvoteDownvoteShare Job
- Suggest Revision
3+ years of experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, multispectral imagery (MSI) and synthetic aperture radar (SAR) imagery.
$131,000 - $219,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
I am writing to express my interest in the Data Science & Analysis (Digital) position at Guidehouse. Bullet Points: - Seeking Data Science & Analysis (Digital) position at Guidehouse.
$65,600 - $98,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
At least 4 years (Bachelor of Science) or 2 years (Master of Science) of hands-on experience performing proteomics or metabolomics sample preparation, operating, and/or maintaining LC-MS/MS systems.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Degrees and backgrounds preferred: Public Policy, Government, International Studies, Accounting, Finance, Business, IT, Computer Science, Audit readiness, Data Science, Communications, STEM majors.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
BAE Systems is looking for cryptocurrency experts with experience in either banking/financial investigation and/or relevant education in information systems or computer science, finance, or FINTECH. The ideal candidates will be tech-savvy analysts with data processing skills who want to grow and develop by initiating analysis on unique data sets.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Master's or Ph. D. in Data Science, Computer Science, Statistics, or a related field. Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated proficiency in implementing, evaluating, and extending cutting-edge data science methodologies, including data labeling, ETL processes, and data standardization practices.
ExpandApply NowActive JobUpdated Today
data science jobs Title: data engineer Company: Guidehouse in Reston, VA
FEATURED BLOG POSTS
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
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!