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Research Python Jobs in Prince Frederick, MD (NOW HIRING)

JET Systems

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DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD · On-site

$120K - $165K/yr

Use Python, R, or comparable analytical languages to clean, analyze, model, visualize, and validate ... Independently research emerging methods and technologies, identify practical applications, and ...

NEOGOV

Director I, Security Operations

La Plata, MD · On-site

... researchers, and executive leadership. • Evaluate security controls of vendors, cloud services ... Python, Bash), packet capture, and forensic tooling. • Experience interpreting and implementing ...

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Research Python information

See Prince Frederick, MD salary details

$13

$61

$90

How much do research python jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for research python in Prince Frederick, MD is $61.59, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $69.95 per hour, depending on experience, location, and employer.

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What job categories do people searching Research Python jobs in Prince Frederick, MD look for? The top searched job categories for Research Python jobs in Prince Frederick, MD are:
What cities near Prince Frederick, MD are hiring for Research Python jobs? Cities near Prince Frederick, MD with the most Research Python job openings:
Research Python jobs near you

Aerospace Systems Engineer - Modeling & Analysis

Astrion

Suitland, MD

$110K - $190K/yr

Full-time

Re-posted 19 days ago

Job description

Overview

Aerospace Systems Engineer – Modeling & Analysis

Job Location: Suitland, Maryland

Job Status: Full Time

Clearance: TS/SCI

Salary: $110,000 - $190,000

SEG is seeking a skilled aerospace systems engineer to be part of our threat missile modeling and simulation team. SEG provides an intellectually stimulating environment with excellent opportunities for technical and leadership growth. This position supports SEG’s Aerospace Branch which develops trajectory models and representations of adversary missile systems.

This role requires expertise in analyzing test data, designing models, and programming software. This position involves collaboration with cross-disciplinary teams, including systems engineering, kill vehicle integration, and mission planning, to design and verify resilient communication architectures.

Salary is commensurate with experience and education.

REQUIRED QUALIFICATIONS / SKILLS

  • Candidates must be US citizens with an active DOD Secret clearance and the ability to obtain and maintain TS/SCI.
  • Candidates must possess a Bachelor of Science Degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related degree (advanced degrees preferred).
  • Candidates must possess at least 6 years of work experience in an engineering field (2 with a MS, 0 with a PhD).
  • Experience in computer science and/or software engineering.
  • Ability to work independently with minimal supervision.
  • Technical writing and communications: ability to convey complex information with clear and precise language, verbal and written, to a wide range of audiences while utilizing a variety of templates and formats.
  • Proficiency in analysis and demonstrated curiosity/desire to understand.

PREFERRED QUALIFICATIONS / SKILLS

  • Candidates should possess an active DoD TS/SCI clearance.
  • Candidates should possess a Master of Science or PhD with research and/or laboratory experience.
  • Experience with RF and IR seekers.
  • Proficiency with Matlab and/or Python.
  • Familiarity with collection, analysis, dissemination, and application of all-source intelligence and data.
  • 2+ years of systems engineering experience.
  • Engineering design experience – work experience or capstone project.
  • Familiarity with DoD HPC systems, accesses and scripting languages, with the ability to submit batch jobs, collect data, and transmit data.
  • Experience with developing and/or running Acquisition Threat Engineering Packages (ATEPs).

RESPONSIBILITIES

  • Design and execute tests, analyze data to discover issues in test results, verification & validation of models, documentation of results.
  • Explore and explain anomalies in test results and make real-world conclusions from tests with limited information.
  • Conduct in-depth research and learn new engineering concepts.
  • Troubleshooting and root cause analysis.
  • Data reduction and visualization – convert raw data into usable and digestible formats for SMEs to review and assess.
  • Act as liaison between analysts, SMEs, engineers, and scientists with awareness of data transfer limitations, computing facilities, and what tasks must be performed at specific facilities.

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