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Research Python Jobs in New York (NOW HIRING)

New York University

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Description RESEARCH SCHOLAR New York University Tandon School of Engineering The Department of ... Python Programming: Write, test, and maintain Python scripts and modules to support robot control ...

Apex Systems

Senior Python Developer

Jersey City, NJ · On-site

$63 - $68.26/hr

Job#: 3033800 Senior Python Developer Location: Jersey City, New Jersey (Onsite) Employment Type ... researcher and developer capacity, with the ability to handle domain-specific data analysis. * 3+ ...

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Research Python information

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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and 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.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

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.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.
What are popular job titles related to Research Python jobs in New York? For Research Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in New York look for? The top searched job categories for Research Python jobs in New York are:
What cities in New York are hiring for Research Python jobs? Cities in New York with the most Research Python job openings:
Research Python jobs near you
Python Developer - EQ Factor Model Risk Technology

Python Developer - EQ Factor Model Risk Technology

Millennium Management LLC

New York, NY • On-site

$175K - $250K/yr

Full-time

Re-posted 24 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Python Developer - EQ Factor Model Risk Technology
Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology team, which is responsible for building and enhancing the firm's equity portfolio analytics platform, including support for MSCI Barra equity factor risk models and the delivery of real-time analytics. This is an opportunity to work on highly data-intensive, compute-heavy distributed systems that power both historical and real-time portfolio analytics. The role offers strong learning potential, exposure to challenging technical problems, and the chance to contribute to impactful work at the intersection of engineering, data, and quantitative analytics.
Principal Responsibilities
  • Build expertise in Barra and proprietary factor risk models
  • Architect and build big data infrastructure with the goal of an automated portfolio research environment
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
  • Work with portfolio research team on the development and integration of new analytics models into the firm's delivery platforms
  • Perform extensive back-testing of existing and new risk factor models
  • Support and run processes for risk management and equity portfolio research

Required Skills
  • Minimum of 3+ years Python development experience in buy-side financial firms
  • Advanced working knowledge of SQL
  • Experience designing and building data Lakehouse architecture is a significant plus.
  • Experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg is a significant plus.
  • Strong working knowledge of statistics.
  • Broad understanding of equity markets and portfolio construction.
  • Strong communication skills, as this role involves direct communication with risk management and trading.
  • Detail-oriented, a quick learner, and able to adapt to a dynamic, high-paced environment.
  • Demonstrated track record of success in challenging environments.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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