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Research Python Jobs in Charlotte, NC (NOW HIRING)

Data Engineer - Python/AI

Charlotte, NC ยท On-site

$111K - $134K/yr

... and researching and troubleshooting data problems within system engineering domains. Join a ... development in Python * 3+ years of handson AI/ML experience , building and deploying machine ...

Data Engineer - Python/AI

Charlotte, NC ยท On-site

$120 - $180/hr

... researching and troubleshooting data problems within system engineering domains. Join a ... development in Python 3+ years of handsโ€‘on AI/ML experience, building and deploying machine ...

Data Engineer - Python/AI

Charlotte, NC ยท On-site

$111K - $134K/yr

... and researching and troubleshooting data problems within system engineering domains. Join a high ... development in Python * 3+ years of hands-on AI/ML experience , building and deploying machine ...

Data Engineer - Python/AI

Charlotte, NC ยท On-site

$140 - $210/hr

... and researching and troubleshooting data problems within system engineering domains. Join a high ... development in Python * 3+ years of hands-on AI/ML experience , building and deploying machine ...

New

Network Threat Detection R&D Engineer

Concord, NC ยท On-site +1

$97K - $133K/yr

Conduct deep-dive research into emerging network threats (agentic and human) to keep our IDPS ... Experience with the Python programming language * Familiarity with Docker and k8s environments

R&D Principal Software Engineer

Concord, NC ยท On-site

$125K - $168K/yr

Expert Level (GoLang & Python): Deep mastery of Go (concurrency, profiling, and performance tuning) and Python (data manipulation and backend services). * Moderate Level (C++): Ability to maintain ...

Showing results 21-40

Research Python information

See Charlotte, NC salary details

$12

$57

$84

How much do research python jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for research python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 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 Charlotte, NC look for?

The top searched job categories for Research Python jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Research Python jobs?

Cities near Charlotte, NC with the most Research Python job openings:

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).