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Military Science Modeling Simulation Jobs in New York

Jj

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New ... Perform Advanced System Simulation and Optimization Modeling supporting design of large and complex ...

goTenna, Inc.

Network Scientist

Jersey City, NJ · On-site

$130K - $160K/yr

... law enforcement, military, and public safety agencies worldwide. goTenna is a wholly owned ... Constructing models and running simulations in Network Simulator 3 (ns-3) or similar discrete-event ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team ... military and veteran status, age, and pregnancy or any other characteristic protected by law.

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Military Science Modeling Simulation information

What is the difference between Military Science Modeling Simulation vs Military Operations Analyst?

AspectMilitary Science Modeling SimulationMilitary Operations Analyst
Required CredentialsBachelor's in military science, engineering, or related field; proficiency in simulation softwareBachelor's in military science, logistics, or related field; analytical skills
Work EnvironmentResearch labs, simulation centers, military training facilitiesField operations, military bases, strategic planning offices
Employer & Industry UsageDefense contractors, military research units, government agenciesMilitary branches, defense agencies, strategic planning units

Military Science Modeling Simulation focuses on developing and analyzing military simulations using specialized software, while Military Operations Analysts interpret real-world military data to improve strategies. Both roles require a background in military science and work within defense-related environments, but their core functions differ in application—simulation development versus operational analysis.

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Data Scientist ::Onsite in NYC, NY (Onsite)

Talent Movers

New York, NY • On-site

Contractor

Re-posted 22 days ago

Job description

Title : Data Scientist

Location: Onsite in NYC, NY (Onsite)

Rate: ON C2C/W2

 

Top 3 must-have HARD skills:

Experience with hardware sensors and real-world data analysis
Direct experience working with biosensors or similar hardware, and analyzing the resulting data.
Signal processing expertise
Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data.
Advanced programming and data manipulation
3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.).

Good to have skills:

Experience presenting findings from statistical and machine learning methods to diverse audiences.
Proficiency in data structures and algorithms.
Experience with data visualization libraries (Matplotlib, Pyplot, seaborn, ggplot2).
Experience working with large datasets.
Familiarity with scientific computing and analysis packages (dplyr, caret).
Advanced degree (Master’s or PhD) in computer science, statistics, neuroscience, biomedical engineering, or related field.

Job Description:

Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.