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Research Python Jobs in Pennsylvania (NOW HIRING)

Artech Information System LLC

Python Developer

Philadelphia, PA · On-site

$50.75 - $70/hr

This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. The eligible candidate should demonstrate an expert level in Python, plus ...

Skild AI

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

Skild AI

Research Scientist

Pittsburgh, PA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement learning ...

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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.

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 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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Pennsylvania?

For Research Python jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Pennsylvania look for?

The top searched job categories for Research Python jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Research Python jobs?

Cities in Pennsylvania with the most Research Python job openings:

Research Python jobs near you
Infographic showing various Research Python job openings in Pennsylvania as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.

Software Engineer| Tactical Python Developer | Experienced Hire

Philadelphia, PA • On-site

Susquehanna International Group, LLP
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Group, LLPexternal

$50.75 - $70/hr

Full-time

Posted 9 days ago

Job description

Overview
Front Office Python Engineer - Trading Applications
We are hiring Python Engineers to build and evolve trader-facing applications that power data analysis, visualization, and decision-making across trading and development desks.
This role combines data engineering, application development, and quantitative tooling, with a focus on delivering systems used in backtesting, analytics, and real-time trading workflows. You will work closely with traders, quantitative analysts, and technologists to turn data into actionable insights and scalable tools.
What you'll work on:
  • Research, design, and develop systems used in backtesting and data analysis
  • Build Python-based applications and tools that deliver tactical analytics for trading decisions
  • Strategy monitoring and diagnostics
  • Develop both ad-hoc tools and systematic data solutions
  • Improve trading workflows and optimize performance
  • Design and maintain data pipelines and datasets supporting research and trading
  • Continuously refine systems based on desk feedback and evolving trading strategies

What we're looking for
  • 3+ years of professional experience building Python applications or data systems
  • Strong Python skills, including experience with:
    • Pandas, NumPy, and data processing libraries
    • Backend frameworks (Flask, FastAPI, or similar)
  • Experience working with:
    • Data pipelines and structured/unstructured datasets
    • APIs and real-time data feeds
    • SQL and database systems
    • AI tools to improve code quality, performance, and developer productivity
  • Familiarity with:
    • Data visualization tools
    • Exposure to real-time systems or event-driven architecture

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
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