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Research Python Jobs in Waxahachie, TX (NOW HIRING)

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

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Research Python information

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How much do research python jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for research python in Waxahachie, TX is $56.59, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $64.28 per hour, depending on experience, location, and employer.

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 job categories do people searching Research Python jobs in Waxahachie, TX look for?

The top searched job categories for Research Python jobs in Waxahachie, TX are:

What cities near Waxahachie, TX are hiring for Research Python jobs?

Cities near Waxahachie, TX with the most Research Python job openings:

Infographic showing various Research Python job openings in Waxahachie, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,716 per year, or $56.6 per hour.

Platform (Python) Engineer - Dallas, TX

Dallas, TX โ€ข On-site

Staffingine LLC
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 4 days ago


Job description

Job Title: Platform (Python) Engineer
Job Location: Dallas, Tx
Job Type: Contract

Banking Domain Exp is must

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Minimum 10 years of experience supporting multiple software and banking applications and platforms in roles such as Platform Engineer, Software Engineer, and Technical Lead.
  • Recent hands-on experience with programming languages and technologies such as Python, Java/Spring Boot, AWS, and SQL.
  • Advanced knowledge of engineering science and technology principles, techniques, and procedures, including the use of appropriate tools and equipment to design and implement products.
  • Experience with Banking applications is highly desired.
  • Experience working in diverse platforms and operating systems, including current and emerging technologies.
  • Experience working with ServiceNow and Salesforce.
  • Results-oriented and self-motivated, with the ability to work independently and collaboratively in a team environment.
  • Experience working in an Agile delivery model (Scrum or Kanban preferred).
  • Experience using Azure DevOps.
  • Ability to obtain, analyze and synthesize information from multiple sources
  • Analytical mindset, focused on results with critical thinking, research and problem-solving, and decision-making skills
  • Proficiency in organization and time management skills with proven track record of meeting various deadlines
  • Excellent communication skills and ability to manage time effectively.
  • Strong attention to detail and ability to deliver high‑quality work in a fast‑paced environment.