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Full Time Data Science Military Jobs (NOW HIRING)

Yes Full-Time Shift: 1st Relocation: No relocation assistance available Virtual/Telework ... Military Paygrade E-5 or above military experience * High School/GED and 4 years combined of ...

Yes Full-Time Shift: 1st Relocation: No relocation assistance available Virtual/Telework ... Military Paygrade E-5 or above military experience * High School/GED and 4 years combined of ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... military or veteran status or any other characteristic protected by state or federal law. The ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... military status, religion, national origin, ancestry, marital or familial status, genetic ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... military status, religion, national origin, ancestry, marital or familial status, genetic ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... military status, religion, national origin, ancestry, marital or familial status, genetic ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... military status, religion, national origin, ancestry, marital or familial status, genetic ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... military status, religion, national origin, ancestry, marital or familial status, genetic ...

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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 Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 20 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME