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Full Time Data Science Military Jobs (NOW HIRING)

DATA SCIENTIST

Layton, UT · On-site

$89K - $138K/yr

The Air Force Civilian Service (AFCS) is looking for a Full-Time DATA SCIENTIST, NH-1560-03, to ... military or commercial aircraft IAW Joint Travel Regulations to other government installations ...

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Full Time Data Science Military information

What is the difference between Full Time Data Science Military vs Full Time Data Analysis Military?

AspectFull Time Data Science MilitaryFull Time Data Analysis Military
Required CredentialsDegree in Data Science, Statistics, or related field; certifications like CAP or DASCADegree in Data Analysis, Statistics, or related field; certifications like CAP or Microsoft Excel certifications
Work EnvironmentMilitary bases, research labs, field operations with advanced analytics toolsMilitary offices, operational centers, using data visualization and reporting tools
Employer & Industry UsageMilitary agencies, defense contractors, government researchMilitary units, defense departments, operational planning

Full Time Data Science Military and Full Time Data Analysis Military roles both serve military organizations but differ mainly in scope. Data scientists focus on developing predictive models and advanced analytics, while data analysts primarily interpret data and generate reports. Both roles require relevant degrees and certifications, but data scientists typically work with more complex algorithms and tools. Understanding these differences helps candidates align their skills with the appropriate military data roles.

What are the key skills and qualifications needed to thrive as a Full Time Data Scientist in the military, and why are they important?

To thrive as a Full Time Data Scientist in the military, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and data visualization software, along with security clearances and certifications like CompTIA Security+ or CISSP, is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills, especially when interpreting data for decision-makers. These skills and qualifications ensure accurate data-driven insights, support mission-critical operations, and maintain the security and integrity of sensitive information.

What are Full Time Data Science Military jobs?

Full Time Data Science Military jobs involve applying data analysis, machine learning, and statistical techniques to solve problems and support decision-making within the military. Professionals in these roles work on projects such as analyzing intelligence data, optimizing logistics, predicting maintenance needs, and enhancing operational efficiency. They may collaborate with other military personnel, defense contractors, and government agencies to develop data-driven solutions that improve mission outcomes. These positions typically require a strong background in data science, programming, and an understanding of military operations or protocols.

What are some common challenges faced by data scientists working in a military environment?

Data scientists in military settings often encounter unique challenges, including working with highly sensitive or classified data, which limits access and sharing compared to civilian sectors. The data may also be less structured and require significant preprocessing. Collaboration with multidisciplinary teams—such as analysts, engineers, and military personnel—demands clear communication and an understanding of operational needs. Additionally, solutions often need to align with strict regulatory and security protocols, which can impact the tools and techniques used.
What cities are hiring for Full Time Data Science Military jobs? Cities with the most Full Time Data Science Military job openings:
What are the most commonly searched types of Data Science Military jobs? The most popular types of Data Science Military jobs are:
What states have the most Full Time Data Science Military jobs? States with the most job openings for Full Time Data Science Military jobs include:

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Re-posted 5 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 19 rated publishing


Job description

Data Scientist Intern - In Office, Lincoln, NE only
Lincoln, Nebraska, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself. Assume other duties as assigned.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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