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Research Python Jobs in Montvale, NJ (NOW HIRING)

Research Engineer

New York, NY ยท Hybrid

$190K - $250K/yr

The Research Engineering team is dedicated to accelerating the velocity of machine learning ... Experience with the python scientific stackand DL libraries (PyTorch, Tensorflow, etc.

Deep Learning Researcher

New York, NY ยท On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python * Strong problem-solving skills and research acumen * Strong communication skills to articulate complex technical concepts * Experience working ...

Deep Learning Researcher

New York, NY ยท On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python * Strong problem-solving skills and research acumen * Strong communication skills to articulate complex technical concepts * Experience working ...

... Python, or R. Previous experience in human subjects research is a plus. Salary range In compliance with NYC's Pay Transparency Act, the annual base salary for this full time position is expected to ...

This is an opportunity for students and researchers of advanced data modeling and statistical ... C++, Java, C#, MATLAB, R, Python, or Perl * Strong analytical and quantitative skills

Showing results 41-60

Research Python information

See Montvale, NJ salary details

$13

$61

$90

How much do research python jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for research python in Montvale, NJ is $61.28, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.62 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 are popular job titles related to Research Python jobs in Montvale, NJ? For Research Python jobs in Montvale, NJ, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Montvale, NJ look for? The top searched job categories for Research Python jobs in Montvale, NJ are:
What cities near Montvale, NJ are hiring for Research Python jobs? Cities near Montvale, NJ with the most Research Python job openings:

Threat Detection Engineer (Python/Automation)

Elliot Partnership

New York, NY โ€ข On-site

Full-time

Re-posted 25 days ago


Job description

Threat Detection Engineer
Location: New York City, (Hybrid)
Compensation: Top-tier compensation
We're representing a global investment and technology development firm that sits at the intersection of high-finance and deep-tech. They're known for an exceptionally high hiring bar, rigorous engineering standards, and an environment that functions more like a research lab than a traditional bank.
They are looking for a Security Engineer who thinks like a Software Engineer.
If you are tired of staring at dashboards, manually closing tickets, or wrestling with legacy SIEMs, this is your exit. This team does not want operators, they want builders. You will join a group that treats detection as a code problem and incident response as a systems engineering challenge.
Your goal is to build the brain of the security operation, not just be the hands. You will work to minimize manual triage through aggressive automation and high-fidelity detection engineering.
Your responsibilities:
  • Treat Detection as Code: You won't just configure alerts in a UI. You will write, test, and deploy detection logic (Python/YAML) via CI/CD pipelines.
  • Build, Don't Just Buy: You will improve the firm's threat detection capabilities by building custom tooling and integrating APIs to find signals that commercial vendors miss.
  • Deep-Dive Forensics: When a true positive hits, you will go deep, analyzing disk images, memory dumps, and kernel-level process activity to understand the how and why.
  • Eliminate Toil: You will relentlessly automate repetitive triage tasks.

Who you are:
We're not looking for a standard SOC Analyst. We're looking for a Computer Scientist who fell in love with security.
  • You have a degree in Computer Science (or comparable depth) and understand how software is built, how memory is managed, and how the Linux kernel operates.
  • You're proficient in Python or Go. You don't just script; you apply software engineering best practices (version control, testing, modularity) to your security work.
  • You have 2-5 years of experience in a high-rigor environment (Top-tier Tech, HFT, or complex Enterprise). You have seen security at scale and know why "default" tools fail.
  • You care more about finding the needle in the haystack than checking a compliance box. You enjoy the hunt.

Why Apply?
  • No red tape. If you need to write a tool to solve a problem, you write it.
  • High Signal, Low Noise. Join a team that values intellectual honesty and technical precision over security theater.
  • Elite Peers. Work alongside some of the smartest engineers in the world (Olympiad winners, PhDs, and open-source contributors).

Please send your resume. We are prioritizing candidates who can demonstrate their ability to code their way through a security incident.