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Contract Data Science Military Jobs (NOW HIRING)

We're an exciting seed round, Boston-based,contract management and analysis tool for technology ... This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

... senior military leaders. * Conduct research and analysis on relevant data science topics ... maintaining awareness of the latest developments trends tools and techniques. * Support the ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

... senior military leaders. * Conduct research and analysis on relevant data science topics ... maintaining awareness of the latest developments trends tools and techniques. * Support the ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for ...

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and ...

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Contract Data Science Military information

What is the difference between Contract Data Science Military vs Contract Data Analysis Military?

AspectContract Data Science MilitaryContract Data Analysis Military
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like CAP or DASCA are also valued
Work EnvironmentOften involves developing predictive models, machine learning, and advanced analytics in military projectsFocuses on analyzing data sets, generating reports, and supporting decision-making processes
Employer & Industry UsageUsed by military agencies for strategic planning, intelligence, and operational supportUtilized by military units for operational analysis, logistics, and performance evaluation

Contract Data Science Military and Contract Data Analysis Military share overlapping skills and work environments but differ mainly in focus. Data science emphasizes predictive modeling and machine learning, while data analysis centers on interpreting data and generating insights. Both roles are vital in military operations, often requiring similar credentials and working within the defense industry.

More about Contract Data Science Military jobs
What cities are hiring for Contract Data Science Military jobs? Cities with the most Contract 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 Contract Data Science Military jobs? States with the most job openings for Contract Data Science Military jobs include:
Infographic showing various Contract Data Science Military job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.
Data Science

Full-time

Posted 20 hours 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)