$13 - $17.50/hr
As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.
$13 - $17.50/hr
As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.
$13 - $17.50/hr
As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.
Tulsa, OK · Remote
BeyondTrust for privileged secure remote access management * Familiarity with other vendor tools ... Bachelor's degree in Engineering, Computer Science, Information Security, or related field. * 7+ ...
Tulsa, OK · Remote
BeyondTrust for privileged secure remote access management * Familiarity with other vendor tools ... Bachelor's degree in Engineering, Computer Science, Information Security, or related field. * 7+ ...
| Aspect | Internship Remote Splunk Engineer | Remote Data Analyst |
|---|---|---|
| Required Credentials | Basic knowledge of Splunk, relevant coursework or certifications | Statistical or data analysis certifications, SQL knowledge |
| Work Environment | Remote internship, technical environment with Splunk tools | Remote, data-focused environment, reporting tools |
| Industry Usage | IT, cybersecurity, operations | Business, marketing, finance |
| Search & Comparison Intent | Understanding entry-level Splunk roles | Comparing data analysis roles |
Internship Remote Splunk Engineer roles focus on learning Splunk platform skills in a remote setting, often requiring basic technical knowledge. Remote Data Analysts analyze data sets using various tools, including SQL and reporting software. While both roles are remote and involve data, Splunk Engineers are more technical and specialized in IT security and operations, whereas Data Analysts focus on business insights. The choice depends on your technical background and career goals.
$13 - $17.50/hr
Other
Re-posted 7 days ago
If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.
Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.
Responsibilities
Leverage our Python-based platform to query, access, and manipulate aerial imagery
Utilize machine learning or other classification techniques to analyze aerial imagery
Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship
Requirements
Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.
Experience with Python & Numpy
Strong problem solving and critical thinking skills
Excellent written and verbal communication
Ability to work independently
Preferred skills
Experience with machine learning and image classification
Proficiency with the following Python packages: numpy, scikit-learn, keras
Experience working with aerial or satellite imagery and geospatial data.